Limpeza dos dados - Pandas Profiling Report

Dataset statistics

Number of variables	64
Number of observations	29269
Missing cells	31947
Missing cells (%)	1.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	14.3 MiB
Average record size in memory	512.0 B

Variable types

Numeric	17
Categorical	47

Warnings

`DT_GERACAO` has constant value "05/08/2021"	Constant
`HH_GERACAO` has constant value "12:18:13"	Constant
`ANO_ELEICAO` has constant value "2020"	Constant
`CD_TIPO_ELEICAO` has constant value "2"	Constant
`NM_TIPO_ELEICAO` has constant value "ELEIÇÃO ORDINÁRIA"	Constant
`NR_TURNO` has constant value "1"	Constant
`CD_ELEICAO` has constant value "426"	Constant
`DS_ELEICAO` has constant value "Eleições Municipais 2020"	Constant
`DT_ELEICAO` has constant value "15/11/2020"	Constant
`TP_ABRANGENCIA` has constant value "MUNICIPAL"	Constant
`CD_CARGO` has constant value "13"	Constant
`DS_CARGO` has constant value "VEREADOR"	Constant
`TP_AGREMIACAO` has constant value "PARTIDO ISOLADO"	Constant
`NM_COLIGACAO` has constant value "PARTIDO ISOLADO"	Constant
`CD_MUNICIPIO_NASCIMENTO` has constant value "-3"	Constant
`NR_PROTOCOLO_CANDIDATURA` has constant value "-1"	Constant
`NM_UE` has a high cardinality: 348 distinct values	High cardinality
`NM_CANDIDATO` has a high cardinality: 28464 distinct values	High cardinality
`NM_URNA_CANDIDATO` has a high cardinality: 27036 distinct values	High cardinality
`NM_EMAIL` has a high cardinality: 13384 distinct values	High cardinality
`NM_MUNICIPIO_NASCIMENTO` has a high cardinality: 855 distinct values	High cardinality
`DT_NASCIMENTO` has a high cardinality: 13468 distinct values	High cardinality
`DS_OCUPACAO` has a high cardinality: 198 distinct values	High cardinality
`df_index` is highly correlated with `SG_UE` and 2 other fields	High correlation
`SG_UE` is highly correlated with `df_index` and 2 other fields	High correlation
`SQ_CANDIDATO` is highly correlated with `df_index` and 2 other fields	High correlation
`NR_CANDIDATO` is highly correlated with `NR_PARTIDO`	High correlation
`CD_SITUACAO_CANDIDATURA` is highly correlated with `CD_DETALHE_SITUACAO_CAND` and 1 other fields	High correlation
`CD_DETALHE_SITUACAO_CAND` is highly correlated with `CD_SITUACAO_CANDIDATURA`	High correlation
`NR_PARTIDO` is highly correlated with `NR_CANDIDATO`	High correlation
`SQ_COLIGACAO` is highly correlated with `df_index` and 2 other fields	High correlation
`CD_SIT_TOT_TURNO` is highly correlated with `CD_SITUACAO_CANDIDATURA`	High correlation
`df_index` is highly correlated with `SG_UE` and 2 other fields	High correlation
`SG_UE` is highly correlated with `df_index` and 2 other fields	High correlation
`SQ_CANDIDATO` is highly correlated with `df_index` and 2 other fields	High correlation
`NR_CANDIDATO` is highly correlated with `NR_PARTIDO`	High correlation
`CD_SITUACAO_CANDIDATURA` is highly correlated with `CD_DETALHE_SITUACAO_CAND`	High correlation
`CD_DETALHE_SITUACAO_CAND` is highly correlated with `CD_SITUACAO_CANDIDATURA`	High correlation
`NR_PARTIDO` is highly correlated with `NR_CANDIDATO`	High correlation
`SQ_COLIGACAO` is highly correlated with `df_index` and 2 other fields	High correlation
`NR_IDADE_DATA_POSSE` is highly correlated with `NR_TITULO_ELEITORAL_CANDIDATO`	High correlation
`NR_TITULO_ELEITORAL_CANDIDATO` is highly correlated with `NR_IDADE_DATA_POSSE`	High correlation
`CD_SITUACAO_CANDIDATO_PLEITO` is highly correlated with `CD_SITUACAO_CANDIDATO_URNA`	High correlation
`CD_SITUACAO_CANDIDATO_URNA` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO`	High correlation
`df_index` is highly correlated with `ANO_ELEICAO` and 12 other fields	High correlation
`ANO_ELEICAO` is highly correlated with `df_index` and 12 other fields	High correlation
`CD_TIPO_ELEICAO` is highly correlated with `df_index` and 12 other fields	High correlation
`NR_TURNO` is highly correlated with `df_index` and 12 other fields	High correlation
`CD_ELEICAO` is highly correlated with `df_index` and 12 other fields	High correlation
`SG_UE` is highly correlated with `CD_CARGO` and 8 other fields	High correlation
`CD_CARGO` is highly correlated with `df_index` and 13 other fields	High correlation
`SQ_CANDIDATO` is highly correlated with `CD_SITUACAO_CANDIDATURA` and 8 other fields	High correlation
`NR_CANDIDATO` is highly correlated with `CD_SITUACAO_CANDIDATURA` and 8 other fields	High correlation
`NR_CPF_CANDIDATO` is highly correlated with `CD_SITUACAO_CANDIDATURA` and 7 other fields	High correlation
`CD_SITUACAO_CANDIDATURA` is highly correlated with `df_index` and 17 other fields	High correlation
`CD_DETALHE_SITUACAO_CAND` is highly correlated with `df_index` and 16 other fields	High correlation
`NR_PARTIDO` is highly correlated with `NR_CANDIDATO` and 6 other fields	High correlation
`SQ_COLIGACAO` is highly correlated with `SQ_CANDIDATO` and 6 other fields	High correlation
`CD_NACIONALIDADE` is highly correlated with `df_index` and 18 other fields	High correlation
`CD_MUNICIPIO_NASCIMENTO` is highly correlated with `df_index` and 18 other fields	High correlation
`NR_IDADE_DATA_POSSE` is highly correlated with `CD_GENERO` and 3 other fields	High correlation
`NR_TITULO_ELEITORAL_CANDIDATO` is highly correlated with `CD_GENERO` and 4 other fields	High correlation
`CD_GENERO` is highly correlated with `df_index` and 20 other fields	High correlation
`CD_GRAU_INSTRUCAO` is highly correlated with `NR_PROTOCOLO_CANDIDATURA` and 2 other fields	High correlation
`CD_ESTADO_CIVIL` is highly correlated with `CD_SITUACAO_CANDIDATURA` and 4 other fields	High correlation
`CD_COR_RACA` is highly correlated with `NR_PROTOCOLO_CANDIDATURA` and 2 other fields	High correlation
`CD_OCUPACAO` is highly correlated with `NR_PROTOCOLO_CANDIDATURA` and 2 other fields	High correlation
`VR_DESPESA_MAX_CAMPANHA` is highly correlated with `NR_PROTOCOLO_CANDIDATURA` and 2 other fields	High correlation
`CD_SIT_TOT_TURNO` is highly correlated with `NR_PROTOCOLO_CANDIDATURA` and 2 other fields	High correlation
`NR_PROTOCOLO_CANDIDATURA` is highly correlated with `df_index` and 26 other fields	High correlation
`NR_PROCESSO` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 1 other fields	High correlation
`CD_SITUACAO_CANDIDATO_PLEITO` is highly correlated with `df_index` and 27 other fields	High correlation
`CD_SITUACAO_CANDIDATO_URNA` is highly correlated with `df_index` and 27 other fields	High correlation
`SG_PARTIDO` is highly correlated with `NM_SOCIAL_CANDIDATO` and 4 other fields	High correlation
`CD_SITUACAO_CANDIDATO_PLEITO` is highly correlated with `CD_SITUACAO_CANDIDATO_URNA` and 9 other fields	High correlation
`DS_GENERO` is highly correlated with `NM_SOCIAL_CANDIDATO` and 1 other fields	High correlation
`CD_SITUACAO_CANDIDATO_URNA` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 9 other fields	High correlation
`CD_COR_RACA` is highly correlated with `NM_SOCIAL_CANDIDATO` and 1 other fields	High correlation
`CD_ESTADO_CIVIL` is highly correlated with `NM_SOCIAL_CANDIDATO` and 1 other fields	High correlation
`CD_SIT_TOT_TURNO` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 8 other fields	High correlation
`NM_SOCIAL_CANDIDATO` is highly correlated with `SG_PARTIDO` and 35 other fields	High correlation
`DS_ESTADO_CIVIL` is highly correlated with `CD_ESTADO_CIVIL` and 1 other fields	High correlation
`CD_DETALHE_SITUACAO_CAND` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 9 other fields	High correlation
`DS_COR_RACA` is highly correlated with `CD_COR_RACA` and 1 other fields	High correlation
`CD_GENERO` is highly correlated with `DS_GENERO` and 1 other fields	High correlation
`CD_SITUACAO_CANDIDATURA` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 9 other fields	High correlation
`NR_CPF_CANDIDATO` is highly correlated with `NR_TITULO_ELEITORAL_CANDIDATO` and 1 other fields	High correlation
`CD_GRAU_INSTRUCAO` is highly correlated with `NM_SOCIAL_CANDIDATO` and 1 other fields	High correlation
`ST_DECLARAR_BENS` is highly correlated with `NM_SOCIAL_CANDIDATO`	High correlation
`SQ_COLIGACAO` is highly correlated with `NM_SOCIAL_CANDIDATO` and 6 other fields	High correlation
`VR_DESPESA_MAX_CAMPANHA` is highly correlated with `NM_SOCIAL_CANDIDATO`	High correlation
`DS_SITUACAO_CANDIDATURA` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 9 other fields	High correlation
`DS_SIT_TOT_TURNO` is highly correlated with `CD_SIT_TOT_TURNO` and 1 other fields	High correlation
`CD_OCUPACAO` is highly correlated with `NM_SOCIAL_CANDIDATO`	High correlation
`DS_GRAU_INSTRUCAO` is highly correlated with `NM_SOCIAL_CANDIDATO` and 1 other fields	High correlation
`DS_SITUACAO_CANDIDATO_PLEITO` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 6 other fields	High correlation
`DS_COMPOSICAO_COLIGACAO` is highly correlated with `SG_PARTIDO` and 4 other fields	High correlation
`ST_CANDIDATO_INSERIDO_URNA` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 7 other fields	High correlation
`SG_UE` is highly correlated with `NM_SOCIAL_CANDIDATO` and 5 other fields	High correlation
`NR_TITULO_ELEITORAL_CANDIDATO` is highly correlated with `NM_SOCIAL_CANDIDATO` and 5 other fields	High correlation
`SG_UF` is highly correlated with `NM_SOCIAL_CANDIDATO` and 6 other fields	High correlation
`NR_PARTIDO` is highly correlated with `SG_PARTIDO` and 4 other fields	High correlation
`NR_PROCESSO` is highly correlated with `NM_SOCIAL_CANDIDATO`	High correlation
`DS_SITUACAO_CANDIDATO_URNA` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 6 other fields	High correlation
`DS_NACIONALIDADE` is highly correlated with `NM_SOCIAL_CANDIDATO` and 2 other fields	High correlation
`SQ_CANDIDATO` is highly correlated with `NM_SOCIAL_CANDIDATO` and 6 other fields	High correlation
`df_index` is highly correlated with `NM_SOCIAL_CANDIDATO` and 5 other fields	High correlation
`DS_DETALHE_SITUACAO_CAND` is highly correlated with `CD_SITUACAO_CANDIDATO_PLEITO` and 9 other fields	High correlation
`NM_PARTIDO` is highly correlated with `SG_PARTIDO` and 4 other fields	High correlation
`SG_UF_NASCIMENTO` is highly correlated with `NM_SOCIAL_CANDIDATO` and 7 other fields	High correlation
`NR_IDADE_DATA_POSSE` is highly correlated with `NM_SOCIAL_CANDIDATO` and 2 other fields	High correlation
`NR_CANDIDATO` is highly correlated with `SG_PARTIDO` and 4 other fields	High correlation
`CD_NACIONALIDADE` is highly correlated with `NM_SOCIAL_CANDIDATO` and 2 other fields	High correlation
`HH_GERACAO` is highly correlated with `SG_PARTIDO` and 38 other fields	High correlation
`SG_PARTIDO` is highly correlated with `HH_GERACAO` and 18 other fields	High correlation
`DS_CARGO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`DS_GENERO` is highly correlated with `HH_GERACAO` and 17 other fields	High correlation
`CD_ELEICAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`NM_TIPO_ELEICAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`ANO_ELEICAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`CD_ESTADO_CIVIL` is highly correlated with `HH_GERACAO` and 17 other fields	High correlation
`CD_SIT_TOT_TURNO` is highly correlated with `HH_GERACAO` and 20 other fields	High correlation
`NM_SOCIAL_CANDIDATO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`DS_ESTADO_CIVIL` is highly correlated with `HH_GERACAO` and 17 other fields	High correlation
`DS_COR_RACA` is highly correlated with `HH_GERACAO` and 16 other fields	High correlation
`CD_GENERO` is highly correlated with `HH_GERACAO` and 17 other fields	High correlation
`DT_GERACAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`CD_SITUACAO_CANDIDATURA` is highly correlated with `HH_GERACAO` and 22 other fields	High correlation
`ST_DECLARAR_BENS` is highly correlated with `HH_GERACAO` and 16 other fields	High correlation
`DS_ELEICAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`DS_SITUACAO_CANDIDATURA` is highly correlated with `HH_GERACAO` and 22 other fields	High correlation
`CD_CARGO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`DT_ELEICAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`NR_TURNO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`DS_SIT_TOT_TURNO` is highly correlated with `HH_GERACAO` and 18 other fields	High correlation
`DS_GRAU_INSTRUCAO` is highly correlated with `HH_GERACAO` and 16 other fields	High correlation
`DS_COMPOSICAO_COLIGACAO` is highly correlated with `HH_GERACAO` and 18 other fields	High correlation
`DS_SITUACAO_CANDIDATO_PLEITO` is highly correlated with `HH_GERACAO` and 21 other fields	High correlation
`ST_CANDIDATO_INSERIDO_URNA` is highly correlated with `HH_GERACAO` and 23 other fields	High correlation
`SG_UF` is highly correlated with `HH_GERACAO` and 17 other fields	High correlation
`DS_SITUACAO_CANDIDATO_URNA` is highly correlated with `HH_GERACAO` and 21 other fields	High correlation
`TP_ABRANGENCIA` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`TP_AGREMIACAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`DS_NACIONALIDADE` is highly correlated with `HH_GERACAO` and 17 other fields	High correlation
`NM_COLIGACAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`DS_DETALHE_SITUACAO_CAND` is highly correlated with `HH_GERACAO` and 21 other fields	High correlation
`NR_PROTOCOLO_CANDIDATURA` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`ST_REELEICAO` is highly correlated with `HH_GERACAO` and 16 other fields	High correlation
`NM_PARTIDO` is highly correlated with `HH_GERACAO` and 18 other fields	High correlation
`SG_UF_NASCIMENTO` is highly correlated with `HH_GERACAO` and 17 other fields	High correlation
`CD_MUNICIPIO_NASCIMENTO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`CD_TIPO_ELEICAO` is highly correlated with `HH_GERACAO` and 38 other fields	High correlation
`CD_NACIONALIDADE` is highly correlated with `HH_GERACAO` and 17 other fields	High correlation
`NM_SOCIAL_CANDIDATO` has 29256 (> 99.9%) missing values	Missing
`DS_SIT_TOT_TURNO` has 897 (3.1%) missing values	Missing
`DS_SITUACAO_CANDIDATO_PLEITO` has 897 (3.1%) missing values	Missing
`DS_SITUACAO_CANDIDATO_URNA` has 897 (3.1%) missing values	Missing
`NM_CANDIDATO` is uniformly distributed	Uniform
`NM_URNA_CANDIDATO` is uniformly distributed	Uniform
`NM_SOCIAL_CANDIDATO` is uniformly distributed	Uniform
`DT_NASCIMENTO` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`SQ_CANDIDATO` has unique values	Unique
`NR_PROCESSO` has unique values	Unique

Reproduction

Analysis started	2021-09-07 10:43:26.218878
Analysis finished	2021-09-07 10:47:50.945889
Duration	4 minutes and 24.73 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	29269
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15684.54887

Minimum	0
Maximum	31654
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1572.4
Q1	7791
median	15610
Q3	23531
95-th percentile	30040.6
Maximum	31654
Range	31654
Interquartile range (IQR)	15740

Descriptive statistics

Standard deviation	9113.837535
Coefficient of variation (CV)	0.5810710661
Kurtosis	-1.192140206
Mean	15684.54887
Median Absolute Deviation (MAD)	7867
Skewness	0.02252796326
Sum	459071061
Variance	83062034.61
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
20840	1	< 0.1%
20838	1	< 0.1%
20837	1	< 0.1%
20836	1	< 0.1%
20834	1	< 0.1%
20830	1	< 0.1%
20829	1	< 0.1%
20828	1	< 0.1%
20827	1	< 0.1%
Other values (29259)	29259	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
31654	1	< 0.1%
31653	1	< 0.1%
31651	1	< 0.1%
31650	1	< 0.1%
31649	1	< 0.1%
31648	1	< 0.1%
31647	1	< 0.1%
31646	1	< 0.1%
31645	1	< 0.1%
31644	1	< 0.1%

DT_GERACAO
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

05/08/2021	29269

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	292690
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	05/08/2021
2nd row	05/08/2021
3rd row	05/08/2021
4th row	05/08/2021
5th row	05/08/2021

Common Values

Value	Count	Frequency (%)
05/08/2021	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
05/08/2021	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	87807	30.0%
/	58538	20.0%
2	58538	20.0%
5	29269	10.0%
8	29269	10.0%
1	29269	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	234152	80.0%
Other Punctuation	58538	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	87807	37.5%
2	58538	25.0%
5	29269	12.5%
8	29269	12.5%
1	29269	12.5%

Other Punctuation

Value	Count	Frequency (%)
/	58538	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	292690	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	87807	30.0%
/	58538	20.0%
2	58538	20.0%
5	29269	10.0%
8	29269	10.0%
1	29269	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	292690	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	87807	30.0%
/	58538	20.0%
2	58538	20.0%
5	29269	10.0%
8	29269	10.0%
1	29269	10.0%

HH_GERACAO
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

12:18:13	29269

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	234152
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	12:18:13
2nd row	12:18:13
3rd row	12:18:13
4th row	12:18:13
5th row	12:18:13

Common Values

Value	Count	Frequency (%)
12:18:13	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
12:18:13	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	87807	37.5%
:	58538	25.0%
2	29269	12.5%
8	29269	12.5%
3	29269	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	175614	75.0%
Other Punctuation	58538	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	87807	50.0%
2	29269	16.7%
8	29269	16.7%
3	29269	16.7%

Other Punctuation

Value	Count	Frequency (%)
:	58538	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	234152	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	87807	37.5%
:	58538	25.0%
2	29269	12.5%
8	29269	12.5%
3	29269	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234152	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	87807	37.5%
:	58538	25.0%
2	29269	12.5%
8	29269	12.5%
3	29269	12.5%

ANO_ELEICAO
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

2020	29269

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	117076
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020
2nd row	2020
3rd row	2020
4th row	2020
5th row	2020

Common Values

Value	Count	Frequency (%)
2020	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2020	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	58538	50.0%
0	58538	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	117076	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	58538	50.0%
0	58538	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	117076	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	58538	50.0%
0	58538	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	117076	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	58538	50.0%
0	58538	50.0%

CD_TIPO_ELEICAO
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

2	29269

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29269
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	29269	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29269	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	29269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	29269	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	29269	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	29269	100.0%

NM_TIPO_ELEICAO
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

ELEIÇÃO ORDINÁRIA	29269

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	497573
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ELEIÇÃO ORDINÁRIA
2nd row	ELEIÇÃO ORDINÁRIA
3rd row	ELEIÇÃO ORDINÁRIA
4th row	ELEIÇÃO ORDINÁRIA
5th row	ELEIÇÃO ORDINÁRIA

Common Values

Value	Count	Frequency (%)
ELEIÇÃO ORDINÁRIA	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
eleição	29269	50.0%
ordinária	29269	50.0%

Most occurring characters

Value	Count	Frequency (%)
I	87807	17.6%
E	58538	11.8%
O	58538	11.8%
R	58538	11.8%
L	29269	5.9%
Ç	29269	5.9%
Ã	29269	5.9%
	29269	5.9%
D	29269	5.9%
N	29269	5.9%
Other values (2)	58538	11.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	468304	94.1%
Space Separator	29269	5.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	87807	18.8%
E	58538	12.5%
O	58538	12.5%
R	58538	12.5%
L	29269	6.2%
Ç	29269	6.2%
Ã	29269	6.2%
D	29269	6.2%
N	29269	6.2%
Á	29269	6.2%

Space Separator

Value	Count	Frequency (%)
	29269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	468304	94.1%
Common	29269	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	87807	18.8%
E	58538	12.5%
O	58538	12.5%
R	58538	12.5%
L	29269	6.2%
Ç	29269	6.2%
Ã	29269	6.2%
D	29269	6.2%
N	29269	6.2%
Á	29269	6.2%

Common

Value	Count	Frequency (%)
	29269	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	409766	82.4%
Latin 1 Sup	87807	17.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	87807	21.4%
E	58538	14.3%
O	58538	14.3%
R	58538	14.3%
L	29269	7.1%
	29269	7.1%
D	29269	7.1%
N	29269	7.1%
A	29269	7.1%

Latin 1 Sup

Value	Count	Frequency (%)
Ç	29269	33.3%
Ã	29269	33.3%
Á	29269	33.3%

NR_TURNO
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

1	29269

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29269
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	29269	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29269	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	29269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	29269	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	29269	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	29269	100.0%

CD_ELEICAO
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

426	29269

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	87807
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	426
2nd row	426
3rd row	426
4th row	426
5th row	426

Common Values

Value	Count	Frequency (%)
426	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
426	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
4	29269	33.3%
2	29269	33.3%
6	29269	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	87807	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	29269	33.3%
2	29269	33.3%
6	29269	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	87807	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	29269	33.3%
2	29269	33.3%
6	29269	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	87807	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	29269	33.3%
2	29269	33.3%
6	29269	33.3%

DS_ELEICAO
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

Eleições Municipais 2020	29269

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	702456
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Eleições Municipais 2020
2nd row	Eleições Municipais 2020
3rd row	Eleições Municipais 2020
4th row	Eleições Municipais 2020
5th row	Eleições Municipais 2020

Common Values

Value	Count	Frequency (%)
Eleições Municipais 2020	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
eleições	29269	33.3%
municipais	29269	33.3%
2020	29269	33.3%

Most occurring characters

Value	Count	Frequency (%)
i	117076	16.7%
e	58538	8.3%
s	58538	8.3%
	58538	8.3%
2	58538	8.3%
0	58538	8.3%
E	29269	4.2%
l	29269	4.2%
ç	29269	4.2%
õ	29269	4.2%
Other values (6)	175614	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	468304	66.7%
Decimal Number	117076	16.7%
Uppercase Letter	58538	8.3%
Space Separator	58538	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	117076	25.0%
e	58538	12.5%
s	58538	12.5%
l	29269	6.2%
ç	29269	6.2%
õ	29269	6.2%
u	29269	6.2%
n	29269	6.2%
c	29269	6.2%
p	29269	6.2%

Uppercase Letter

Value	Count	Frequency (%)
E	29269	50.0%
M	29269	50.0%

Decimal Number

Value	Count	Frequency (%)
2	58538	50.0%
0	58538	50.0%

Space Separator

Value	Count	Frequency (%)
	58538	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	526842	75.0%
Common	175614	25.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	117076	22.2%
e	58538	11.1%
s	58538	11.1%
E	29269	5.6%
l	29269	5.6%
ç	29269	5.6%
õ	29269	5.6%
M	29269	5.6%
u	29269	5.6%
n	29269	5.6%
Other values (3)	87807	16.7%

Common

Value	Count	Frequency (%)
	58538	33.3%
2	58538	33.3%
0	58538	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	643918	91.7%
Latin 1 Sup	58538	8.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	117076	18.2%
e	58538	9.1%
s	58538	9.1%
	58538	9.1%
2	58538	9.1%
0	58538	9.1%
E	29269	4.5%
l	29269	4.5%
M	29269	4.5%
u	29269	4.5%
Other values (4)	117076	18.2%

Latin 1 Sup

Value	Count	Frequency (%)
ç	29269	50.0%
õ	29269	50.0%

DT_ELEICAO
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

15/11/2020	29269

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	292690
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	15/11/2020
2nd row	15/11/2020
3rd row	15/11/2020
4th row	15/11/2020
5th row	15/11/2020

Common Values

Value	Count	Frequency (%)
15/11/2020	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
15/11/2020	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	87807	30.0%
/	58538	20.0%
2	58538	20.0%
0	58538	20.0%
5	29269	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	234152	80.0%
Other Punctuation	58538	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	87807	37.5%
2	58538	25.0%
0	58538	25.0%
5	29269	12.5%

Other Punctuation

Value	Count	Frequency (%)
/	58538	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	292690	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	87807	30.0%
/	58538	20.0%
2	58538	20.0%
0	58538	20.0%
5	29269	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	292690	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	87807	30.0%
/	58538	20.0%
2	58538	20.0%
0	58538	20.0%
5	29269	10.0%

TP_ABRANGENCIA
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

MUNICIPAL	29269

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	263421
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MUNICIPAL
2nd row	MUNICIPAL
3rd row	MUNICIPAL
4th row	MUNICIPAL
5th row	MUNICIPAL

Common Values

Value	Count	Frequency (%)
MUNICIPAL	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
municipal	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
I	58538	22.2%
M	29269	11.1%
U	29269	11.1%
N	29269	11.1%
C	29269	11.1%
P	29269	11.1%
A	29269	11.1%
L	29269	11.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	263421	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	58538	22.2%
M	29269	11.1%
U	29269	11.1%
N	29269	11.1%
C	29269	11.1%
P	29269	11.1%
A	29269	11.1%
L	29269	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	263421	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	58538	22.2%
M	29269	11.1%
U	29269	11.1%
N	29269	11.1%
C	29269	11.1%
P	29269	11.1%
A	29269	11.1%
L	29269	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263421	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	58538	22.2%
M	29269	11.1%
U	29269	11.1%
N	29269	11.1%
C	29269	11.1%
P	29269	11.1%
A	29269	11.1%
L	29269	11.1%

SG_UF
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PE	19764
RN	9505

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	58538
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PE
2nd row	PE
3rd row	PE
4th row	PE
5th row	PE

Common Values

Value	Count	Frequency (%)
PE	19764	67.5%
RN	9505	32.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
pe	19764	67.5%
rn	9505	32.5%

Most occurring characters

Value	Count	Frequency (%)
P	19764	33.8%
E	19764	33.8%
R	9505	16.2%
N	9505	16.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	58538	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	19764	33.8%
E	19764	33.8%
R	9505	16.2%
N	9505	16.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58538	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	19764	33.8%
E	19764	33.8%
R	9505	16.2%
N	9505	16.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58538	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	19764	33.8%
E	19764	33.8%
R	9505	16.2%
N	9505	16.2%

SG_UE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	351
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22341.67399

Minimum	16004
Maximum	30031
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	16004
5-th percentile	16357
Q1	18031
median	23833
Q3	25135
95-th percentile	26158
Maximum	30031
Range	14027
Interquartile range (IQR)	7104

Descriptive statistics

Standard deviation	3562.350455
Coefficient of variation (CV)	0.1594486813
Kurtosis	-1.214232104
Mean	22341.67399
Median Absolute Deviation (MAD)	1480
Skewness	-0.6276751114
Sum	653918456
Variance	12690340.77
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25313	896	3.1%
24570	757	2.6%
17612	736	2.5%
24910	584	2.0%
23574	561	1.9%
25135	553	1.9%
17590	476	1.6%
26298	468	1.6%
23817	468	1.6%
25216	373	1.3%
Other values (341)	23397	79.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16004	22	0.1%
16012	37	0.1%
16020	32	0.1%
16039	155	0.5%
16047	31	0.1%
16055	34	0.1%
16063	54	0.2%
16071	21	0.1%
16080	48	0.2%
16098	29	0.1%

Value	Count	Frequency (%)
30031	135	0.5%
26336	71	0.2%
26310	247	0.8%
26298	468	1.6%
26271	256	0.9%
26255	79	0.3%
26239	44	0.2%
26212	31	0.1%
26190	34	0.1%
26174	34	0.1%

NM_UE
Categorical

HIGH CARDINALITY

Distinct	348
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

RECIFE	896
JABOATÃO DOS GUARARAPES	757
NATAL	736
OLINDA	584
CABO DE SANTO AGOSTINHO	561
Other values (343)	25735

Length

Max length	26
Median length	9
Mean length	10.5974239
Min length	3

Characters and Unicode

Total characters	310176
Distinct characters	38
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CARUARU
2nd row	ÁGUAS BELAS
3rd row	RECIFE
4th row	OURICURI
5th row	PALMARES

Common Values

Value	Count	Frequency (%)
RECIFE	896	3.1%
JABOATÃO DOS GUARARAPES	757	2.6%
NATAL	736	2.5%
OLINDA	584	2.0%
CABO DE SANTO AGOSTINHO	561	1.9%
PAULISTA	553	1.9%
MOSSORÓ	476	1.6%
CARUARU	468	1.6%
CAMARAGIBE	468	1.6%
PETROLINA	373	1.3%
Other values (338)	23397	79.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
são	2046	4.2%
do	1961	4.0%
de	1688	3.4%
da	1097	2.2%
dos	949	1.9%
recife	896	1.8%
santo	895	1.8%
guararapes	757	1.5%
jaboatão	757	1.5%
natal	736	1.5%
Other values (390)	37457	76.1%

Most occurring characters

Value	Count	Frequency (%)
A	51038	16.5%
O	28634	9.2%
R	25015	8.1%
I	20569	6.6%
	19970	6.4%
E	19719	6.4%
S	16868	5.4%
N	15935	5.1%
T	13658	4.4%
D	11321	3.6%
Other values (28)	87449	28.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	289844	93.4%
Space Separator	19970	6.4%
Dash Punctuation	298	0.1%
Other Punctuation	64	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	51038	17.6%
O	28634	9.9%
R	25015	8.6%
I	20569	7.1%
E	19719	6.8%
S	16868	5.8%
N	15935	5.5%
T	13658	4.7%
D	11321	3.9%
U	10516	3.6%
Other values (25)	76571	26.4%

Space Separator

Value	Count	Frequency (%)
	19970	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	298	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	289844	93.4%
Common	20332	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	51038	17.6%
O	28634	9.9%
R	25015	8.6%
I	20569	7.1%
E	19719	6.8%
S	16868	5.8%
N	15935	5.5%
T	13658	4.7%
D	11321	3.9%
U	10516	3.6%
Other values (25)	76571	26.4%

Common

Value	Count	Frequency (%)
	19970	98.2%
-	298	1.5%
'	64	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	298557	96.3%
Latin 1 Sup	11619	3.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	51038	17.1%
O	28634	9.6%
R	25015	8.4%
I	20569	6.9%
	19970	6.7%
E	19719	6.6%
S	16868	5.6%
N	15935	5.3%
T	13658	4.6%
D	11321	3.8%
Other values (17)	75830	25.4%

Latin 1 Sup

Value	Count	Frequency (%)
Ã	3726	32.1%
Ó	1621	14.0%
É	1560	13.4%
Á	1493	12.8%
Ç	1017	8.8%
Í	738	6.4%
Ú	705	6.1%
Â	450	3.9%
Ê	213	1.8%
Ô	74	0.6%

CD_CARGO
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

13	29269

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	58538
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	13
2nd row	13
3rd row	13
4th row	13
5th row	13

Common Values

Value	Count	Frequency (%)
13	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
13	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	29269	50.0%
3	29269	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	58538	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	29269	50.0%
3	29269	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	58538	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	29269	50.0%
3	29269	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58538	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	29269	50.0%
3	29269	50.0%

DS_CARGO
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

VEREADOR	29269

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	234152
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	VEREADOR
2nd row	VEREADOR
3rd row	VEREADOR
4th row	VEREADOR
5th row	VEREADOR

Common Values

Value	Count	Frequency (%)
VEREADOR	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
vereador	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
E	58538	25.0%
R	58538	25.0%
V	29269	12.5%
A	29269	12.5%
D	29269	12.5%
O	29269	12.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	234152	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	58538	25.0%
R	58538	25.0%
V	29269	12.5%
A	29269	12.5%
D	29269	12.5%
O	29269	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	234152	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	58538	25.0%
R	58538	25.0%
V	29269	12.5%
A	29269	12.5%
D	29269	12.5%
O	29269	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234152	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	58538	25.0%
R	58538	25.0%
V	29269	12.5%
A	29269	12.5%
D	29269	12.5%
O	29269	12.5%

SQ_CANDIDATO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	29269
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.797433683 × 10¹¹

Minimum	1.700006351 × 10¹¹
Maximum	2.000013737 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	1.700006351 × 10¹¹
5-th percentile	1.700006902 × 10¹¹
Q1	1.700008886 × 10¹¹
median	1.7000114 × 10¹¹
Q3	2.000008369 × 10¹¹
95-th percentile	2.000011763 × 10¹¹
Maximum	2.000013737 × 10¹¹
Range	3.000073861 × 10¹⁰
Interquartile range (IQR)	2.999994823 × 10¹⁰

Descriptive statistics

Standard deviation	1.404863704 × 10¹⁰
Coefficient of variation (CV)	0.07815941791
Kurtosis	-1.439789374
Mean	1.797433683 × 10¹¹
Median Absolute Deviation (MAD)	315058
Skewness	0.7485379172
Sum	5.260908647 × 10¹⁵
Variance	1.973642027 × 10²⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.700012311 × 10¹¹	1	< 0.1%
1.700012285 × 10¹¹	1	< 0.1%
1.700009916 × 10¹¹	1	< 0.1%
1.70001212 × 10¹¹	1	< 0.1%
1.700012471 × 10¹¹	1	< 0.1%
1.700011794 × 10¹¹	1	< 0.1%
1.700011486 × 10¹¹	1	< 0.1%
1.700010686 × 10¹¹	1	< 0.1%
1.700011737 × 10¹¹	1	< 0.1%
1.700012492 × 10¹¹	1	< 0.1%
Other values (29259)	29259	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.700006351 × 10¹¹	1	< 0.1%
1.700006351 × 10¹¹	1	< 0.1%
1.700006351 × 10¹¹	1	< 0.1%
1.700006351 × 10¹¹	1	< 0.1%
1.700006351 × 10¹¹	1	< 0.1%
1.700006351 × 10¹¹	1	< 0.1%
1.700006351 × 10¹¹	1	< 0.1%
1.700006351 × 10¹¹	1	< 0.1%
1.700006351 × 10¹¹	1	< 0.1%
1.700006392 × 10¹¹	1	< 0.1%

Value	Count	Frequency (%)
2.000013737 × 10¹¹	1	< 0.1%
2.000012758 × 10¹¹	1	< 0.1%
2.000012756 × 10¹¹	1	< 0.1%
2.000012748 × 10¹¹	1	< 0.1%
2.000012748 × 10¹¹	1	< 0.1%
2.000012747 × 10¹¹	1	< 0.1%
2.000012747 × 10¹¹	1	< 0.1%
2.000012744 × 10¹¹	1	< 0.1%
2.000012743 × 10¹¹	1	< 0.1%
2.000012743 × 10¹¹	1	< 0.1%

NR_CANDIDATO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4645
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32889.88657

Minimum	10000
Maximum	90999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	10000
5-th percentile	10888
Q1	15123
median	23600
Q3	45333
95-th percentile	77321
Maximum	90999
Range	80999
Interquartile range (IQR)	30210

Descriptive statistics

Standard deviation	21536.10705
Coefficient of variation (CV)	0.6547942025
Kurtosis	-0.04359333652
Mean	32889.88657
Median Absolute Deviation (MAD)	12156
Skewness	0.9612749495
Sum	962654090
Variance	463803906.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40000	201	0.7%
40123	196	0.7%
40111	180	0.6%
40222	176	0.6%
40444	174	0.6%
15555	173	0.6%
15000	171	0.6%
15111	167	0.6%
15123	160	0.5%
40333	160	0.5%
Other values (4635)	27511	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10000	111	0.4%
10001	18	0.1%
10002	1	< 0.1%
10003	3	< 0.1%
10005	1	< 0.1%
10006	1	< 0.1%
10007	8	< 0.1%
10008	1	< 0.1%
10010	22	0.1%
10011	5	< 0.1%

Value	Count	Frequency (%)
90999	40	0.1%
90995	1	< 0.1%
90990	2	< 0.1%
90988	1	< 0.1%
90987	1	< 0.1%
90981	1	< 0.1%
90977	1	< 0.1%
90969	1	< 0.1%
90944	1	< 0.1%
90909	1	< 0.1%

NM_CANDIDATO
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	28464
Distinct (%)	97.2%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

JOSÉ CARLOS DA SILVA	17
MARIA JOSÉ DA SILVA	15
MARIA DE LOURDES DA SILVA	15
MARIA APARECIDA DA SILVA	11
JOSE CARLOS DA SILVA	10
Other values (28459)	29201

Length

Max length	61
Median length	25
Mean length	26.02603437
Min length	6

Characters and Unicode

Total characters	761756
Distinct characters	41
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27977 ?
Unique (%)	95.6%

Sample

1st row	MARIA DE LOURDES ALVES DE SOUZA
2nd row	JOSÉ MAREVALDO BARROS DE OLIVEIRA
3rd row	JOSÉ AGNIS PERKLES RÊGO
4th row	DELVANI SILVA SOBRAL
5th row	MARILENE SHEILLA DE OLIVEIRA

Common Values

Value	Count	Frequency (%)
JOSÉ CARLOS DA SILVA	17	0.1%
MARIA JOSÉ DA SILVA	15	0.1%
MARIA DE LOURDES DA SILVA	15	0.1%
MARIA APARECIDA DA SILVA	11	< 0.1%
JOSE CARLOS DA SILVA	10	< 0.1%
CARLOS ANTONIO DA SILVA	9	< 0.1%
FRANCISCO DE ASSIS DA SILVA	9	< 0.1%
ANA PAULA DA SILVA	9	< 0.1%
MARIA JOSE DA SILVA	8	< 0.1%
JOSE ANTONIO DA SILVA	8	< 0.1%
Other values (28454)	29158	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
silva	9849	8.1%
de	9750	8.0%
da	9604	7.9%
maria	3347	2.7%
santos	2540	2.1%
dos	2067	1.7%
josé	2034	1.7%
oliveira	1769	1.4%
lima	1769	1.4%
jose	1749	1.4%
Other values (9623)	77812	63.6%

Most occurring characters

Value	Count	Frequency (%)
A	103388	13.6%
	93114	12.2%
E	65148	8.6%
I	63793	8.4%
O	60674	8.0%
S	53506	7.0%
R	50864	6.7%
L	41403	5.4%
D	40117	5.3%
N	38459	5.0%
Other values (31)	151290	19.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	668641	87.8%
Space Separator	93114	12.2%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	103388	15.5%
E	65148	9.7%
I	63793	9.5%
O	60674	9.1%
S	53506	8.0%
R	50864	7.6%
L	41403	6.2%
D	40117	6.0%
N	38459	5.8%
V	20368	3.0%
Other values (29)	130921	19.6%

Space Separator

Value	Count	Frequency (%)
	93114	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	668641	87.8%
Common	93115	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	103388	15.5%
E	65148	9.7%
I	63793	9.5%
O	60674	9.1%
S	53506	8.0%
R	50864	7.6%
L	41403	6.2%
D	40117	6.0%
N	38459	5.8%
V	20368	3.0%
Other values (29)	130921	19.6%

Common

Value	Count	Frequency (%)
	93114	> 99.9%
-	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	754006	99.0%
Latin 1 Sup	7750	1.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	103388	13.7%
	93114	12.3%
E	65148	8.6%
I	63793	8.5%
O	60674	8.0%
S	53506	7.1%
R	50864	6.7%
L	41403	5.5%
D	40117	5.3%
N	38459	5.1%
Other values (18)	143540	19.0%

Latin 1 Sup

Value	Count	Frequency (%)
É	2769	35.7%
Ã	1272	16.4%
Ç	902	11.6%
Á	717	9.3%
Ú	678	8.7%
Í	410	5.3%
Ô	379	4.9%
Â	234	3.0%
Ê	181	2.3%
Ó	171	2.2%
Other values (3)	37	0.5%

NM_URNA_CANDIDATO
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	27036
Distinct (%)	92.4%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

ANA PAULA	20
MARIA JOSÉ	15
ZÉ CARLOS	14
SIMONE	13
NEIDE	11
Other values (27031)	29196

Length

Max length	30
Median length	14
Mean length	13.70590044
Min length	2

Characters and Unicode

Total characters	401158
Distinct characters	57
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25677 ?
Unique (%)	87.7%

Sample

1st row	DONA LOURDES DA BONANÇA
2nd row	MAREVALDO DA RUA 15
3rd row	JOSÉ AGNIS
4th row	DELVANIA SOBRAL
5th row	SHEILLA DO MEIO AMBIENTE

Common Values

Value	Count	Frequency (%)
ANA PAULA	20	0.1%
MARIA JOSÉ	15	0.1%
ZÉ CARLOS	14	< 0.1%
SIMONE	13	< 0.1%
NEIDE	11	< 0.1%
MARQUINHOS	11	< 0.1%
ADRIANA	10	< 0.1%
JOÃO PAULO	10	< 0.1%
PAULINHO	10	< 0.1%
ROSA	9	< 0.1%
Other values (27026)	29146	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	3268	5.0%
do	2608	4.0%
da	2355	3.6%
irmão	624	0.9%
maria	463	0.7%
professor	419	0.6%
zé	397	0.6%
silva	388	0.6%
joão	356	0.5%
professora	352	0.5%
Other values (13086)	54598	82.9%

Most occurring characters

Value	Count	Frequency (%)
A	51488	12.8%
O	37507	9.3%
	36870	9.2%
E	33604	8.4%
I	32775	8.2%
R	28715	7.2%
N	23906	6.0%
D	21544	5.4%
L	19556	4.9%
S	18396	4.6%
Other values (47)	96797	24.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	364090	90.8%
Space Separator	36870	9.2%
Other Punctuation	126	< 0.1%
Decimal Number	25	< 0.1%
Dash Punctuation	19	< 0.1%
Open Punctuation	12	< 0.1%
Close Punctuation	12	< 0.1%
Other Symbol	2	< 0.1%
Modifier Symbol	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	51488	14.1%
O	37507	10.3%
E	33604	9.2%
I	32775	9.0%
R	28715	7.9%
N	23906	6.6%
D	21544	5.9%
L	19556	5.4%
S	18396	5.1%
C	11796	3.2%
Other values (30)	84803	23.3%

Decimal Number

Value	Count	Frequency (%)
1	7	28.0%
0	5	20.0%
5	3	12.0%
2	3	12.0%
8	3	12.0%
3	2	8.0%
4	1	4.0%
6	1	4.0%

Other Punctuation

Value	Count	Frequency (%)
.	123	97.6%
,	2	1.6%
/	1	0.8%

Space Separator

Value	Count	Frequency (%)
	36870	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Other Symbol

Value	Count	Frequency (%)
°	2	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	364090	90.8%
Common	37068	9.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	51488	14.1%
O	37507	10.3%
E	33604	9.2%
I	32775	9.0%
R	28715	7.9%
N	23906	6.6%
D	21544	5.9%
L	19556	5.4%
S	18396	5.1%
C	11796	3.2%
Other values (30)	84803	23.3%

Common

Value	Count	Frequency (%)
	36870	99.5%
.	123	0.3%
-	19	0.1%
(	12	< 0.1%
)	12	< 0.1%
1	7	< 0.1%
0	5	< 0.1%
5	3	< 0.1%
2	3	< 0.1%
8	3	< 0.1%
Other values (7)	11	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	393033	98.0%
Latin 1 Sup	8125	2.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	51488	13.1%
O	37507	9.5%
	36870	9.4%
E	33604	8.5%
I	32775	8.3%
R	28715	7.3%
N	23906	6.1%
D	21544	5.5%
L	19556	5.0%
S	18396	4.7%
Other values (31)	88672	22.6%

Latin 1 Sup

Value	Count	Frequency (%)
Ã	2430	29.9%
É	1629	20.0%
Á	1078	13.3%
Ç	689	8.5%
Ú	688	8.5%
Í	403	5.0%
Ó	344	4.2%
Ô	310	3.8%
Â	253	3.1%
Ê	234	2.9%
Other values (6)	67	0.8%

NM_SOCIAL_CANDIDATO
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	13
Distinct (%)	100.0%
Missing	29256
Missing (%)	> 99.9%
Memory size	228.8 KiB

ADRYELLY FERRAZ	1
SOFIA FRAGOSO DA SILVA	1
PAULLA BLADHY PAULINO DA SILVA	1
ROBERTTA LLEONY	1
GENILDI DE LIMA	1
Other values (8)	8

Length

Max length	34
Median length	24
Mean length	22.61538462
Min length	13

Characters and Unicode

Total characters	294
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	100.0%

Sample

1st row	ADRYELLY FERRAZ
2nd row	SOFIA FRAGOSO DA SILVA
3rd row	PAULLA BLADHY PAULINO DA SILVA
4th row	ROBERTTA LLEONY
5th row	GENILDI DE LIMA

Common Values

Value	Count	Frequency (%)
ADRYELLY FERRAZ	1	< 0.1%
SOFIA FRAGOSO DA SILVA	1	< 0.1%
PAULLA BLADHY PAULINO DA SILVA	1	< 0.1%
ROBERTTA LLEONY	1	< 0.1%
GENILDI DE LIMA	1	< 0.1%
BRUNA RAFAELA NASCIMENTO	1	< 0.1%
ADRIANO DINIZ	1	< 0.1%
DANIELLE MEDEIROS DE ARAUJO	1	< 0.1%
WANESSA MOISES DOS SANTOS	1	< 0.1%
LUDMILA FELIX DE ANDRADE	1	< 0.1%
Other values (3)	3	< 0.1%
(Missing)	29256	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	4	8.7%
da	4	8.7%
silva	3	6.5%
medeiros	2	4.3%
adryelly	1	2.2%
wanessa	1	2.2%
moises	1	2.2%
dos	1	2.2%
santos	1	2.2%
ludmila	1	2.2%
Other values (27)	27	58.7%

Most occurring characters

Value	Count	Frequency (%)
A	42	14.3%
	33	11.2%
E	25	8.5%
L	25	8.5%
D	22	7.5%
I	22	7.5%
S	21	7.1%
O	17	5.8%
R	15	5.1%
N	14	4.8%
Other values (15)	58	19.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	261	88.8%
Space Separator	33	11.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	42	16.1%
E	25	9.6%
L	25	9.6%
D	22	8.4%
I	22	8.4%
S	21	8.0%
O	17	6.5%
R	15	5.7%
N	14	5.4%
M	9	3.4%
Other values (14)	49	18.8%

Space Separator

Value	Count	Frequency (%)
	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	261	88.8%
Common	33	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	42	16.1%
E	25	9.6%
L	25	9.6%
D	22	8.4%
I	22	8.4%
S	21	8.0%
O	17	6.5%
R	15	5.7%
N	14	5.4%
M	9	3.4%
Other values (14)	49	18.8%

Common

Value	Count	Frequency (%)
	33	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	294	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	42	14.3%
	33	11.2%
E	25	8.5%
L	25	8.5%
D	22	7.5%
I	22	7.5%
S	21	7.1%
O	17	5.8%
R	15	5.1%
N	14	4.8%
Other values (15)	58	19.7%

NR_CPF_CANDIDATO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	29248
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.922522645 × 10¹⁰

Minimum	13219430
Maximum	9.997776143 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	13219430
5-th percentile	1354546855
Q1	4714564463
median	1.015996044 × 10¹⁰
Q3	5.514076947 × 10¹⁰
95-th percentile	8.870938189 × 10¹⁰
Maximum	9.997776143 × 10¹⁰
Range	9.9964542 × 10¹⁰
Interquartile range (IQR)	5.042620500 × 10¹⁰

Descriptive statistics

Standard deviation	3.108039718 × 10¹⁰
Coefficient of variation (CV)	1.063478404
Kurtosis	-0.8152096364
Mean	2.922522645 × 10¹⁰
Median Absolute Deviation (MAD)	7960146984
Skewness	0.857047538
Sum	8.55393153 × 10¹⁴
Variance	9.659910891 × 10²⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.603331245 × 10¹⁰	2	< 0.1%
4720015409	2	< 0.1%
6980352407	2	< 0.1%
2355286418	2	< 0.1%
4.54705964 × 10¹⁰	2	< 0.1%
9.26459767 × 10¹⁰	2	< 0.1%
7511369480	2	< 0.1%
8514422421	2	< 0.1%
1.282265946 × 10¹⁰	2	< 0.1%
3962545433	2	< 0.1%
Other values (29238)	29249	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13219430	1	< 0.1%
26664569	1	< 0.1%
27046419	1	< 0.1%
27067416	1	< 0.1%
28473370	1	< 0.1%
28853440	1	< 0.1%
33052441	1	< 0.1%
34629432	1	< 0.1%
34867708	1	< 0.1%
36878480	1	< 0.1%

Value	Count	Frequency (%)
9.997776143 × 10¹⁰	1	< 0.1%
9.996920349 × 10¹⁰	1	< 0.1%
9.996481387 × 10¹⁰	1	< 0.1%
9.996365549 × 10¹⁰	1	< 0.1%
9.994448013 × 10¹⁰	1	< 0.1%
9.993695041 × 10¹⁰	1	< 0.1%
9.988964145 × 10¹⁰	1	< 0.1%
9.988335041 × 10¹⁰	1	< 0.1%
9.988298145 × 10¹⁰	1	< 0.1%
9.987155642 × 10¹⁰	1	< 0.1%

NM_EMAIL
Categorical

HIGH CARDINALITY

Distinct	13384
Distinct (%)	45.7%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PABLO.ELEITORAL2020@GMAIL.COM	352
PTCESTADUALPE@GMAIL.COM	160
MARC_GUEDES@HOTMAIL.COM	137
MVCONTABIL1969@HOTMAIL.COM	113
FRENTEPOPULARCABO@GMAIL.COM	104
Other values (13379)	28403

Length

Max length	42
Median length	25
Mean length	25.86538659
Min length	14

Characters and Unicode

Total characters	757054
Distinct characters	44
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11986 ?
Unique (%)	41.0%

Sample

1st row	NG_CONSULTORIA@HOTMAIL.COM
2nd row	MDBABCAMPANHA2020@GMAIL.COM
3rd row	DIRETORIODEMREC25@GMAIL.COM
4th row	DELVANIA_SOBRAL@HOTMAIL.COM
5th row	MARC_GUEDES@HOTMAIL.COM

Common Values

Value	Count	Frequency (%)
PABLO.ELEITORAL2020@GMAIL.COM	352	1.2%
PTCESTADUALPE@GMAIL.COM	160	0.5%
MARC_GUEDES@HOTMAIL.COM	137	0.5%
MVCONTABIL1969@HOTMAIL.COM	113	0.4%
FRENTEPOPULARCABO@GMAIL.COM	104	0.4%
ELEICOES4040@HOTMAIL.COM	102	0.3%
LNLPROCESSOS@GMAIL.COM	100	0.3%
OTRABALHOCONTINUA.2020@GMAIL.COM	99	0.3%
SLMELEICAO2020@GMAIL.COM	96	0.3%
QSELEICOES2020@HOTMAIL.COM	90	0.3%
Other values (13374)	27916	95.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pablo.eleitoral2020@gmail.com	352	1.2%
ptcestadualpe@gmail.com	160	0.5%
marc_guedes@hotmail.com	137	0.5%
mvcontabil1969@hotmail.com	113	0.4%
frentepopularcabo@gmail.com	104	0.4%
eleicoes4040@hotmail.com	102	0.3%
lnlprocessos@gmail.com	100	0.3%
otrabalhocontinua.2020@gmail.com	99	0.3%
slmeleicao2020@gmail.com	96	0.3%
qseleicoes2020@hotmail.com	90	0.3%
Other values (13374)	27916	95.4%

Most occurring characters

Value	Count	Frequency (%)
A	84970	11.2%
O	80226	10.6%
M	68282	9.0%
I	60239	8.0%
L	50604	6.7%
C	47535	6.3%
E	38054	5.0%
.	36047	4.8%
R	32765	4.3%
@	29269	3.9%
Other values (34)	229063	30.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	650866	86.0%
Other Punctuation	65320	8.6%
Decimal Number	39037	5.2%
Connector Punctuation	1443	0.2%
Dash Punctuation	386	0.1%
Math Symbol	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	84970	13.1%
O	80226	12.3%
M	68282	10.5%
I	60239	9.3%
L	50604	7.8%
C	47535	7.3%
E	38054	5.8%
R	32765	5.0%
G	25068	3.9%
S	23976	3.7%
Other values (16)	139147	21.4%

Decimal Number

Value	Count	Frequency (%)
0	10257	26.3%
2	9702	24.9%
1	5397	13.8%
5	2543	6.5%
4	2259	5.8%
9	2097	5.4%
7	1904	4.9%
3	1892	4.8%
8	1527	3.9%
6	1459	3.7%

Other Punctuation

Value	Count	Frequency (%)
.	36047	55.2%
@	29269	44.8%
'	3	< 0.1%
!	1	< 0.1%

Math Symbol

Value	Count	Frequency (%)
\|	1	50.0%
~	1	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1443	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	386	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	650866	86.0%
Common	106188	14.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	84970	13.1%
O	80226	12.3%
M	68282	10.5%
I	60239	9.3%
L	50604	7.8%
C	47535	7.3%
E	38054	5.8%
R	32765	5.0%
G	25068	3.9%
S	23976	3.7%
Other values (16)	139147	21.4%

Common

Value	Count	Frequency (%)
.	36047	33.9%
@	29269	27.6%
0	10257	9.7%
2	9702	9.1%
1	5397	5.1%
5	2543	2.4%
4	2259	2.1%
9	2097	2.0%
7	1904	1.8%
3	1892	1.8%
Other values (8)	4821	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	757054	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	84970	11.2%
O	80226	10.6%
M	68282	9.0%
I	60239	8.0%
L	50604	6.7%
C	47535	6.3%
E	38054	5.0%
.	36047	4.8%
R	32765	4.3%
@	29269	3.9%
Other values (34)	229063	30.3%

CD_SITUACAO_CANDIDATURA
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

12	27838
3	1431

Length

Max length	2
Median length	2
Mean length	1.951108682
Min length	1

Characters and Unicode

Total characters	57107
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	12
2nd row	12
3rd row	12
4th row	12
5th row	3

Common Values

Value	Count	Frequency (%)
12	27838	95.1%
3	1431	4.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
12	27838	95.1%
3	1431	4.9%

Most occurring characters

Value	Count	Frequency (%)
1	27838	48.7%
2	27838	48.7%
3	1431	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	57107	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	27838	48.7%
2	27838	48.7%
3	1431	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	57107	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	27838	48.7%
2	27838	48.7%
3	1431	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57107	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	27838	48.7%
2	27838	48.7%
3	1431	2.5%

DS_SITUACAO_CANDIDATURA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

APTO	27838
INAPTO	1431

Length

Max length	6
Median length	4
Mean length	4.097782637
Min length	4

Characters and Unicode

Total characters	119938
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	APTO
2nd row	APTO
3rd row	APTO
4th row	APTO
5th row	INAPTO

Common Values

Value	Count	Frequency (%)
APTO	27838	95.1%
INAPTO	1431	4.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
apto	27838	95.1%
inapto	1431	4.9%

Most occurring characters

Value	Count	Frequency (%)
A	29269	24.4%
P	29269	24.4%
T	29269	24.4%
O	29269	24.4%
I	1431	1.2%
N	1431	1.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	119938	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	29269	24.4%
P	29269	24.4%
T	29269	24.4%
O	29269	24.4%
I	1431	1.2%
N	1431	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	119938	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	29269	24.4%
P	29269	24.4%
T	29269	24.4%
O	29269	24.4%
I	1431	1.2%
N	1431	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119938	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	29269	24.4%
P	29269	24.4%
T	29269	24.4%
O	29269	24.4%
I	1431	1.2%
N	1431	1.2%

CD_DETALHE_SITUACAO_CAND
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.441354334

Minimum	2
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	2
median	2
Q3	2
95-th percentile	4
Maximum	16
Range	14
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.11227001
Coefficient of variation (CV)	0.8652041945
Kurtosis	24.32828587
Mean	2.441354334
Median Absolute Deviation (MAD)	0
Skewness	5.035829484
Sum	71456
Variance	4.461684595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	27781	94.9%
14	854	2.9%
6	550	1.9%
4	45	0.2%
13	14	< 0.1%
16	12	< 0.1%
7	7	< 0.1%
5	5	< 0.1%
10	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	27781	94.9%
4	45	0.2%
5	5	< 0.1%
6	550	1.9%
7	7	< 0.1%
10	1	< 0.1%
13	14	< 0.1%
14	854	2.9%
16	12	< 0.1%

Value	Count	Frequency (%)
16	12	< 0.1%
14	854	2.9%
13	14	< 0.1%
10	1	< 0.1%
7	7	< 0.1%
6	550	1.9%
5	5	< 0.1%
4	45	0.2%
2	27781	94.9%

DS_DETALHE_SITUACAO_CAND
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

DEFERIDO	27781
INDEFERIDO	854
RENÚNCIA	550
INDEFERIDO COM RECURSO	45
PEDIDO NÃO CONHECIDO	14
Other values (4)	25

Length

Max length	22
Median length	8
Mean length	8.090676142
Min length	7

Characters and Unicode

Total characters	236806
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	DEFERIDO
2nd row	DEFERIDO
3rd row	DEFERIDO
4th row	DEFERIDO
5th row	RENÚNCIA

Common Values

Value	Count	Frequency (%)
DEFERIDO	27781	94.9%
INDEFERIDO	854	2.9%
RENÚNCIA	550	1.9%
INDEFERIDO COM RECURSO	45	0.2%
PEDIDO NÃO CONHECIDO	14	< 0.1%
DEFERIDO COM RECURSO	12	< 0.1%
FALECIDO	7	< 0.1%
CANCELADO	5	< 0.1%
CASSADO	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
deferido	27793	94.5%
indeferido	899	3.1%
renúncia	550	1.9%
com	57	0.2%
recurso	57	0.2%
pedido	14	< 0.1%
não	14	< 0.1%
conhecido	14	< 0.1%
falecido	7	< 0.1%
cancelado	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	58031	24.5%
D	57439	24.3%
I	30176	12.7%
R	29356	12.4%
O	28875	12.2%
F	28699	12.1%
N	2032	0.9%
C	710	0.3%
A	569	0.2%
Ú	550	0.2%
Other values (8)	369	0.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	236664	99.9%
Space Separator	142	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	58031	24.5%
D	57439	24.3%
I	30176	12.8%
R	29356	12.4%
O	28875	12.2%
F	28699	12.1%
N	2032	0.9%
C	710	0.3%
A	569	0.2%
Ú	550	0.2%
Other values (7)	227	0.1%

Space Separator

Value	Count	Frequency (%)
	142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	236664	99.9%
Common	142	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	58031	24.5%
D	57439	24.3%
I	30176	12.8%
R	29356	12.4%
O	28875	12.2%
F	28699	12.1%
N	2032	0.9%
C	710	0.3%
A	569	0.2%
Ú	550	0.2%
Other values (7)	227	0.1%

Common

Value	Count	Frequency (%)
	142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	236242	99.8%
Latin 1 Sup	564	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	58031	24.6%
D	57439	24.3%
I	30176	12.8%
R	29356	12.4%
O	28875	12.2%
F	28699	12.1%
N	2032	0.9%
C	710	0.3%
A	569	0.2%
	142	0.1%
Other values (6)	213	0.1%

Latin 1 Sup

Value	Count	Frequency (%)
Ú	550	97.5%
Ã	14	2.5%

TP_AGREMIACAO
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PARTIDO ISOLADO	29269

Length

Max length	15
Median length	15
Mean length	15
Min length	15

Characters and Unicode

Total characters	439035
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PARTIDO ISOLADO
2nd row	PARTIDO ISOLADO
3rd row	PARTIDO ISOLADO
4th row	PARTIDO ISOLADO
5th row	PARTIDO ISOLADO

Common Values

Value	Count	Frequency (%)
PARTIDO ISOLADO	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
partido	29269	50.0%
isolado	29269	50.0%

Most occurring characters

Value	Count	Frequency (%)
O	87807	20.0%
A	58538	13.3%
I	58538	13.3%
D	58538	13.3%
P	29269	6.7%
R	29269	6.7%
T	29269	6.7%
	29269	6.7%
S	29269	6.7%
L	29269	6.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	409766	93.3%
Space Separator	29269	6.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	87807	21.4%
A	58538	14.3%
I	58538	14.3%
D	58538	14.3%
P	29269	7.1%
R	29269	7.1%
T	29269	7.1%
S	29269	7.1%
L	29269	7.1%

Space Separator

Value	Count	Frequency (%)
	29269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	409766	93.3%
Common	29269	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	87807	21.4%
A	58538	14.3%
I	58538	14.3%
D	58538	14.3%
P	29269	7.1%
R	29269	7.1%
T	29269	7.1%
S	29269	7.1%
L	29269	7.1%

Common

Value	Count	Frequency (%)
	29269	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	439035	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	87807	20.0%
A	58538	13.3%
I	58538	13.3%
D	58538	13.3%
P	29269	6.7%
R	29269	6.7%
T	29269	6.7%
	29269	6.7%
S	29269	6.7%
L	29269	6.7%

NR_PARTIDO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	33
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.51378592

Minimum	10
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	10
5-th percentile	10
Q1	15
median	23
Q3	45
95-th percentile	77
Maximum	90
Range	80
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	21.52518357
Coefficient of variation (CV)	0.6620325183
Kurtosis	-0.04382616724
Mean	32.51378592
Median Absolute Deviation (MAD)	12
Skewness	0.9614049376
Sum	951646
Variance	463.3335277
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
40	2800	9.6%
15	2499	8.5%
11	1801	6.2%
55	1753	6.0%
13	1605	5.5%
10	1569	5.4%
22	1431	4.9%
45	1426	4.9%
25	1419	4.8%
17	1197	4.1%
Other values (23)	11769	40.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	1569	5.4%
11	1801	6.2%
12	913	3.1%
13	1605	5.5%
14	827	2.8%
15	2499	8.5%
16	10	< 0.1%
17	1197	4.1%
18	218	0.7%
19	761	2.6%

Value	Count	Frequency (%)
90	817	2.8%
80	22	0.1%
77	1094	3.7%
70	1040	3.6%
65	824	2.8%
55	1753	6.0%
51	576	2.0%
50	415	1.4%
45	1426	4.9%
43	530	1.8%

SG_PARTIDO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	33
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PSB	2800
MDB	2499
PP	1801
PSD	1753
PT	1605
Other values (28)	18811

Length

Max length	13
Median length	3
Mean length	4.299531928
Min length	2

Characters and Unicode

Total characters	125843
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PSL
2nd row	MDB
3rd row	DEM
4th row	PSDB
5th row	PROS

Common Values

Value	Count	Frequency (%)
PSB	2800	9.6%
MDB	2499	8.5%
PP	1801	6.2%
PSD	1753	6.0%
PT	1605	5.5%
REPUBLICANOS	1569	5.4%
PL	1431	4.9%
PSDB	1426	4.9%
DEM	1419	4.8%
PSL	1197	4.1%
Other values (23)	11769	40.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
psb	2800	9.1%
mdb	2499	8.1%
pp	1801	5.8%
psd	1753	5.7%
pt	1605	5.2%
republicanos	1569	5.1%
pl	1431	4.6%
psdb	1426	4.6%
dem	1419	4.6%
psl	1197	3.9%
Other values (25)	13417	43.4%

Most occurring characters

Value	Count	Frequency (%)
P	23732	18.9%
D	14163	11.3%
S	12213	9.7%
B	10613	8.4%
A	9536	7.6%
E	7413	5.9%
T	6657	5.3%
I	6031	4.8%
L	5706	4.5%
O	5284	4.2%
Other values (9)	24495	19.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	122547	97.4%
Space Separator	1648	1.3%
Lowercase Letter	1648	1.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	23732	19.4%
D	14163	11.6%
S	12213	10.0%
B	10613	8.7%
A	9536	7.8%
E	7413	6.0%
T	6657	5.4%
I	6031	4.9%
L	5706	4.7%
O	5284	4.3%
Other values (6)	21199	17.3%

Lowercase Letter

Value	Count	Frequency (%)
d	824	50.0%
o	824	50.0%

Space Separator

Value	Count	Frequency (%)
	1648	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	124195	98.7%
Common	1648	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	23732	19.1%
D	14163	11.4%
S	12213	9.8%
B	10613	8.5%
A	9536	7.7%
E	7413	6.0%
T	6657	5.4%
I	6031	4.9%
L	5706	4.6%
O	5284	4.3%
Other values (8)	22847	18.4%

Common

Value	Count	Frequency (%)
	1648	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125843	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	23732	18.9%
D	14163	11.3%
S	12213	9.7%
B	10613	8.4%
A	9536	7.6%
E	7413	5.9%
T	6657	5.3%
I	6031	4.8%
L	5706	4.5%
O	5284	4.2%
Other values (9)	24495	19.5%

NM_PARTIDO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	33
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PARTIDO SOCIALISTA BRASILEIRO	2800
MOVIMENTO DEMOCRÁTICO BRASILEIRO	2499
PROGRESSISTAS	1801
PARTIDO SOCIAL DEMOCRÁTICO	1753
PARTIDO DOS TRABALHADORES	1605
Other values (28)	18811

Length

Max length	46
Median length	25
Mean length	22.227647
Min length	6

Characters and Unicode

Total characters	650581
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PARTIDO SOCIAL LIBERAL
2nd row	MOVIMENTO DEMOCRÁTICO BRASILEIRO
3rd row	DEMOCRATAS
4th row	PARTIDO DA SOCIAL DEMOCRACIA BRASILEIRA
5th row	PARTIDO REPUBLICANO DA ORDEM SOCIAL

Common Values

Value	Count	Frequency (%)
PARTIDO SOCIALISTA BRASILEIRO	2800	9.6%
MOVIMENTO DEMOCRÁTICO BRASILEIRO	2499	8.5%
PROGRESSISTAS	1801	6.2%
PARTIDO SOCIAL DEMOCRÁTICO	1753	6.0%
PARTIDO DOS TRABALHADORES	1605	5.5%
REPUBLICANOS	1569	5.4%
PARTIDO LIBERAL	1431	4.9%
PARTIDO DA SOCIAL DEMOCRACIA BRASILEIRA	1426	4.9%
DEMOCRATAS	1419	4.8%
PARTIDO SOCIAL LIBERAL	1197	4.1%
Other values (23)	11769	40.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
partido	17227	23.3%
brasileiro	6626	9.0%
social	6325	8.6%
democrático	5165	7.0%
trabalhista	2850	3.9%
socialista	2810	3.8%
da	2651	3.6%
liberal	2628	3.6%
movimento	2499	3.4%
progressistas	1801	2.4%
Other values (34)	23236	31.5%

Most occurring characters

Value	Count	Frequency (%)
A	80080	12.3%
I	75054	11.5%
O	68799	10.6%
R	64167	9.9%
	44549	6.8%
T	43632	6.7%
S	43152	6.6%
D	41258	6.3%
E	36024	5.5%
L	33094	5.1%
Other values (14)	120772	18.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	606032	93.2%
Space Separator	44549	6.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	80080	13.2%
I	75054	12.4%
O	68799	11.4%
R	64167	10.6%
T	43632	7.2%
S	43152	7.1%
D	41258	6.8%
E	36024	5.9%
L	33094	5.5%
C	30792	5.1%
Other values (13)	89980	14.8%

Space Separator

Value	Count	Frequency (%)
	44549	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	606032	93.2%
Common	44549	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	80080	13.2%
I	75054	12.4%
O	68799	11.4%
R	64167	10.6%
T	43632	7.2%
S	43152	7.1%
D	41258	6.8%
E	36024	5.9%
L	33094	5.5%
C	30792	5.1%
Other values (13)	89980	14.8%

Common

Value	Count	Frequency (%)
	44549	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	642998	98.8%
Latin 1 Sup	7583	1.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	80080	12.5%
I	75054	11.7%
O	68799	10.7%
R	64167	10.0%
	44549	6.9%
T	43632	6.8%
S	43152	6.7%
D	41258	6.4%
E	36024	5.6%
L	33094	5.1%
Other values (11)	113189	17.6%

Latin 1 Sup

Value	Count	Frequency (%)
Á	5167	68.1%
Ã	2178	28.7%
Ç	238	3.1%

SQ_COLIGACAO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2195
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.797425012 × 10¹¹

Minimum	1.700000525 × 10¹¹
Maximum	2.00000179 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	1.700000525 × 10¹¹
5-th percentile	1.700000637 × 10¹¹
Q1	1.700000996 × 10¹¹
median	1.700001377 × 10¹¹
Q3	2.000000879 × 10¹¹
95-th percentile	2.000001439 × 10¹¹
Maximum	2.00000179 × 10¹¹
Range	3.000012653 × 10¹⁰
Interquartile range (IQR)	2.999998833 × 10¹⁰

Descriptive statistics

Standard deviation	1.404863938 × 10¹⁰
Coefficient of variation (CV)	0.07815980795
Kurtosis	-1.439789374
Mean	1.797425012 × 10¹¹
Median Absolute Deviation (MAD)	51680
Skewness	0.7485379174
Sum	5.260883269 × 10¹⁵
Variance	1.973642683 × 10²⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.700001499 × 10¹¹	59	0.2%
1.700001356 × 10¹¹	59	0.2%
1.700000886 × 10¹¹	58	0.2%
1.700001552 × 10¹¹	57	0.2%
1.700000888 × 10¹¹	56	0.2%
1.700000888 × 10¹¹	53	0.2%
1.700001551 × 10¹¹	52	0.2%
1.700001073 × 10¹¹	51	0.2%
1.700000892 × 10¹¹	50	0.2%
1.700001464 × 10¹¹	45	0.2%
Other values (2185)	28729	98.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.700000525 × 10¹¹	9	< 0.1%
1.700000559 × 10¹¹	8	< 0.1%
1.700000562 × 10¹¹	9	< 0.1%
1.700000563 × 10¹¹	13	< 0.1%
1.700000564 × 10¹¹	1	< 0.1%
1.700000567 × 10¹¹	10	< 0.1%
1.700000568 × 10¹¹	21	0.1%
1.700000568 × 10¹¹	1	< 0.1%
1.700000568 × 10¹¹	16	0.1%
1.700000568 × 10¹¹	12	< 0.1%

Value	Count	Frequency (%)
2.00000179 × 10¹¹	2	< 0.1%
2.000001747 × 10¹¹	9	< 0.1%
2.0000017 × 10¹¹	1	< 0.1%
2.000001636 × 10¹¹	13	< 0.1%
2.000001613 × 10¹¹	17	0.1%
2.000001613 × 10¹¹	20	0.1%
2.00000161 × 10¹¹	23	0.1%
2.00000161 × 10¹¹	37	0.1%
2.000001609 × 10¹¹	14	< 0.1%
2.000001589 × 10¹¹	12	< 0.1%

NM_COLIGACAO
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PARTIDO ISOLADO	29269

Length

Max length	15
Median length	15
Mean length	15
Min length	15

Characters and Unicode

Total characters	439035
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PARTIDO ISOLADO
2nd row	PARTIDO ISOLADO
3rd row	PARTIDO ISOLADO
4th row	PARTIDO ISOLADO
5th row	PARTIDO ISOLADO

Common Values

Value	Count	Frequency (%)
PARTIDO ISOLADO	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
partido	29269	50.0%
isolado	29269	50.0%

Most occurring characters

Value	Count	Frequency (%)
O	87807	20.0%
A	58538	13.3%
I	58538	13.3%
D	58538	13.3%
P	29269	6.7%
R	29269	6.7%
T	29269	6.7%
	29269	6.7%
S	29269	6.7%
L	29269	6.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	409766	93.3%
Space Separator	29269	6.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	87807	21.4%
A	58538	14.3%
I	58538	14.3%
D	58538	14.3%
P	29269	7.1%
R	29269	7.1%
T	29269	7.1%
S	29269	7.1%
L	29269	7.1%

Space Separator

Value	Count	Frequency (%)
	29269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	409766	93.3%
Common	29269	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	87807	21.4%
A	58538	14.3%
I	58538	14.3%
D	58538	14.3%
P	29269	7.1%
R	29269	7.1%
T	29269	7.1%
S	29269	7.1%
L	29269	7.1%

Common

Value	Count	Frequency (%)
	29269	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	439035	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	87807	20.0%
A	58538	13.3%
I	58538	13.3%
D	58538	13.3%
P	29269	6.7%
R	29269	6.7%
T	29269	6.7%
	29269	6.7%
S	29269	6.7%
L	29269	6.7%

DS_COMPOSICAO_COLIGACAO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	33
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PSB	2800
MDB	2499
PP	1801
PSD	1753
PT	1605
Other values (28)	18811

Length

Max length	13
Median length	3
Mean length	4.299531928
Min length	2

Characters and Unicode

Total characters	125843
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PSL
2nd row	MDB
3rd row	DEM
4th row	PSDB
5th row	PROS

Common Values

Value	Count	Frequency (%)
PSB	2800	9.6%
MDB	2499	8.5%
PP	1801	6.2%
PSD	1753	6.0%
PT	1605	5.5%
REPUBLICANOS	1569	5.4%
PL	1431	4.9%
PSDB	1426	4.9%
DEM	1419	4.8%
PSL	1197	4.1%
Other values (23)	11769	40.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
psb	2800	9.1%
mdb	2499	8.1%
pp	1801	5.8%
psd	1753	5.7%
pt	1605	5.2%
republicanos	1569	5.1%
pl	1431	4.6%
psdb	1426	4.6%
dem	1419	4.6%
psl	1197	3.9%
Other values (25)	13417	43.4%

Most occurring characters

Value	Count	Frequency (%)
P	23732	18.9%
D	14163	11.3%
S	12213	9.7%
B	10613	8.4%
A	9536	7.6%
E	7413	5.9%
T	6657	5.3%
I	6031	4.8%
L	5706	4.5%
O	5284	4.2%
Other values (9)	24495	19.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	122547	97.4%
Space Separator	1648	1.3%
Lowercase Letter	1648	1.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	23732	19.4%
D	14163	11.6%
S	12213	10.0%
B	10613	8.7%
A	9536	7.8%
E	7413	6.0%
T	6657	5.4%
I	6031	4.9%
L	5706	4.7%
O	5284	4.3%
Other values (6)	21199	17.3%

Lowercase Letter

Value	Count	Frequency (%)
d	824	50.0%
o	824	50.0%

Space Separator

Value	Count	Frequency (%)
	1648	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	124195	98.7%
Common	1648	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	23732	19.1%
D	14163	11.4%
S	12213	9.8%
B	10613	8.5%
A	9536	7.7%
E	7413	6.0%
T	6657	5.4%
I	6031	4.9%
L	5706	4.6%
O	5284	4.3%
Other values (8)	22847	18.4%

Common

Value	Count	Frequency (%)
	1648	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125843	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	23732	18.9%
D	14163	11.3%
S	12213	9.7%
B	10613	8.4%
A	9536	7.6%
E	7413	5.9%
T	6657	5.3%
I	6031	4.8%
L	5706	4.5%
O	5284	4.2%
Other values (9)	24495	19.5%

CD_NACIONALIDADE
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

1	29090
2	178
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29269
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	29090	99.4%
2	178	0.6%
4	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	29090	99.4%
2	178	0.6%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	29090	99.4%
2	178	0.6%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29269	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	29090	99.4%
2	178	0.6%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	29269	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	29090	99.4%
2	178	0.6%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	29090	99.4%
2	178	0.6%
4	1	< 0.1%

DS_NACIONALIDADE
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

BRASILEIRA NATA	29090
BRASILEIRA (NATURALIZADA)	178
ESTRANGEIRO	1

Length

Max length	25
Median length	15
Mean length	15.06067853
Min length	11

Characters and Unicode

Total characters	440811
Distinct characters	17
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	BRASILEIRA NATA
2nd row	BRASILEIRA NATA
3rd row	BRASILEIRA NATA
4th row	BRASILEIRA (NATURALIZADA)
5th row	BRASILEIRA NATA

Common Values

Value	Count	Frequency (%)
BRASILEIRA NATA	29090	99.4%
BRASILEIRA (NATURALIZADA)	178	0.6%
ESTRANGEIRO	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
brasileira	29268	50.0%
nata	29090	49.7%
naturalizada	178	0.3%
estrangeiro	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
A	117429	26.6%
R	58716	13.3%
I	58715	13.3%
L	29446	6.7%
E	29270	6.6%
S	29269	6.6%
N	29269	6.6%
T	29269	6.6%
B	29268	6.6%
	29268	6.6%
Other values (7)	892	0.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	411187	93.3%
Space Separator	29268	6.6%
Open Punctuation	178	< 0.1%
Close Punctuation	178	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	117429	28.6%
R	58716	14.3%
I	58715	14.3%
L	29446	7.2%
E	29270	7.1%
S	29269	7.1%
N	29269	7.1%
T	29269	7.1%
B	29268	7.1%
U	178	< 0.1%
Other values (4)	358	0.1%

Space Separator

Value	Count	Frequency (%)
	29268	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	178	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	178	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	411187	93.3%
Common	29624	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	117429	28.6%
R	58716	14.3%
I	58715	14.3%
L	29446	7.2%
E	29270	7.1%
S	29269	7.1%
N	29269	7.1%
T	29269	7.1%
B	29268	7.1%
U	178	< 0.1%
Other values (4)	358	0.1%

Common

Value	Count	Frequency (%)
	29268	98.8%
(	178	0.6%
)	178	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	440811	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	117429	26.6%
R	58716	13.3%
I	58715	13.3%
L	29446	6.7%
E	29270	6.6%
S	29269	6.6%
N	29269	6.6%
T	29269	6.6%
B	29268	6.6%
	29268	6.6%
Other values (7)	892	0.2%

SG_UF_NASCIMENTO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PE	18436
RN	8711
PB	570
SP	401
BA	242
Other values (23)	909

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	58538
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PE
2nd row	PE
3rd row	RJ
4th row	PE
5th row	AL

Common Values

Value	Count	Frequency (%)
PE	18436	63.0%
RN	8711	29.8%
PB	570	1.9%
SP	401	1.4%
BA	242	0.8%
CE	234	0.8%
AL	217	0.7%
RJ	175	0.6%
PI	51	0.2%
MG	42	0.1%
Other values (18)	190	0.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pe	18436	63.0%
rn	8711	29.8%
pb	570	1.9%
sp	401	1.4%
ba	242	0.8%
ce	234	0.8%
al	217	0.7%
rj	175	0.6%
pi	51	0.2%
mg	42	0.1%
Other values (18)	190	0.6%

Most occurring characters

Value	Count	Frequency (%)
P	19501	33.3%
E	18685	31.9%
R	8921	15.2%
N	8711	14.9%
B	812	1.4%
A	534	0.9%
S	440	0.8%
C	240	0.4%
L	217	0.4%
J	175	0.3%
Other values (8)	302	0.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	58538	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	19501	33.3%
E	18685	31.9%
R	8921	15.2%
N	8711	14.9%
B	812	1.4%
A	534	0.9%
S	440	0.8%
C	240	0.4%
L	217	0.4%
J	175	0.3%
Other values (8)	302	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58538	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	19501	33.3%
E	18685	31.9%
R	8921	15.2%
N	8711	14.9%
B	812	1.4%
A	534	0.9%
S	440	0.8%
C	240	0.4%
L	217	0.4%
J	175	0.3%
Other values (8)	302	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58538	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	19501	33.3%
E	18685	31.9%
R	8921	15.2%
N	8711	14.9%
B	812	1.4%
A	534	0.9%
S	440	0.8%
C	240	0.4%
L	217	0.4%
J	175	0.3%
Other values (8)	302	0.5%

CD_MUNICIPIO_NASCIMENTO
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

-3	29269

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	58538
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-3
2nd row	-3
3rd row	-3
4th row	-3
5th row	-3

Common Values

Value	Count	Frequency (%)
-3	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
-	29269	50.0%
3	29269	50.0%

Most occurring categories

Value	Count	Frequency (%)
Dash Punctuation	29269	50.0%
Decimal Number	29269	50.0%

Most frequent character per category

Dash Punctuation

Value	Count	Frequency (%)
-	29269	100.0%

Decimal Number

Value	Count	Frequency (%)
3	29269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	58538	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	29269	50.0%
3	29269	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58538	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	29269	50.0%
3	29269	50.0%

NM_MUNICIPIO_NASCIMENTO
Categorical

HIGH CARDINALITY

Distinct	855
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

RECIFE	2757
NATAL	1568
MOSSORÓ	620
CARUARU	563
JABOATÃO DOS GUARARAPES	466
Other values (850)	23295

Length

Max length	26
Median length	8
Mean length	9.697837302
Min length	3

Characters and Unicode

Total characters	283846
Distinct characters	49
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	284 ?
Unique (%)	1.0%

Sample

1st row	RECIFE
2nd row	ÁGUAS BELAS
3rd row	RIO DE JANEIRO
4th row	OURICURI
5th row	MACEIÓ

Common Values

Value	Count	Frequency (%)
RECIFE	2757	9.4%
NATAL	1568	5.4%
MOSSORÓ	620	2.1%
CARUARU	563	1.9%
JABOATÃO DOS GUARARAPES	466	1.6%
CABO DE SANTO AGOSTINHO	431	1.5%
PAULISTA	400	1.4%
PALMARES	377	1.3%
GARANHUNS	366	1.3%
LIMOEIRO	341	1.2%
Other values (845)	21380	73.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
recife	2757	6.0%
são	1915	4.2%
natal	1568	3.4%
do	1520	3.3%
de	1430	3.1%
santo	921	2.0%
da	827	1.8%
dos	696	1.5%
mossoró	620	1.4%
caruaru	563	1.2%
Other values (858)	32766	71.9%

Most occurring characters

Value	Count	Frequency (%)
A	44551	15.7%
O	25319	8.9%
R	24437	8.6%
E	20779	7.3%
I	19597	6.9%
	16314	5.7%
S	15967	5.6%
N	14606	5.1%
T	12370	4.4%
C	10952	3.9%
Other values (39)	78954	27.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	267259	94.2%
Space Separator	16314	5.7%
Dash Punctuation	243	0.1%
Lowercase Letter	30	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	44551	16.7%
O	25319	9.5%
R	24437	9.1%
E	20779	7.8%
I	19597	7.3%
S	15967	6.0%
N	14606	5.5%
T	12370	4.6%
C	10952	4.1%
U	9971	3.7%
Other values (25)	68710	25.7%

Lowercase Letter

Value	Count	Frequency (%)
a	8	26.7%
n	4	13.3%
t	4	13.3%
i	3	10.0%
o	3	10.0%
s	2	6.7%
m	1	3.3%
r	1	3.3%
d	1	3.3%
b	1	3.3%
Other values (2)	2	6.7%

Space Separator

Value	Count	Frequency (%)
	16314	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	243	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	267289	94.2%
Common	16557	5.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	44551	16.7%
O	25319	9.5%
R	24437	9.1%
E	20779	7.8%
I	19597	7.3%
S	15967	6.0%
N	14606	5.5%
T	12370	4.6%
C	10952	4.1%
U	9971	3.7%
Other values (37)	68740	25.7%

Common

Value	Count	Frequency (%)
	16314	98.5%
-	243	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	273284	96.3%
Latin 1 Sup	10562	3.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	44551	16.3%
O	25319	9.3%
R	24437	8.9%
E	20779	7.6%
I	19597	7.2%
	16314	6.0%
S	15967	5.8%
N	14606	5.3%
T	12370	4.5%
C	10952	4.0%
Other values (27)	68392	25.0%

Latin 1 Sup

Value	Count	Frequency (%)
Ã	3433	32.5%
Ó	1764	16.7%
É	1305	12.4%
Á	1198	11.3%
Ú	758	7.2%
Ç	647	6.1%
Í	618	5.9%
Â	468	4.4%
Ê	198	1.9%
Ô	160	1.5%
Other values (2)	13	0.1%

DT_NASCIMENTO
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	13468
Distinct (%)	46.0%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

11/03/1983	10
14/10/1965	9
05/07/1982	9
18/06/1974	9
22/02/1979	9
Other values (13463)	29223

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	292690
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5428 ?
Unique (%)	18.5%

Sample

1st row	09/10/1952
2nd row	28/09/1969
3rd row	27/05/1962
4th row	10/03/1971
5th row	26/07/1973

Common Values

Value	Count	Frequency (%)
11/03/1983	10	< 0.1%
14/10/1965	9	< 0.1%
05/07/1982	9	< 0.1%
18/06/1974	9	< 0.1%
22/02/1979	9	< 0.1%
29/09/1981	9	< 0.1%
21/11/1972	8	< 0.1%
12/03/1979	8	< 0.1%
31/01/1978	8	< 0.1%
23/08/1971	8	< 0.1%
Other values (13458)	29182	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
11/03/1983	10	< 0.1%
14/10/1965	9	< 0.1%
05/07/1982	9	< 0.1%
18/06/1974	9	< 0.1%
22/02/1979	9	< 0.1%
29/09/1981	9	< 0.1%
21/11/1972	8	< 0.1%
12/03/1979	8	< 0.1%
31/01/1978	8	< 0.1%
23/08/1971	8	< 0.1%
Other values (13458)	29182	99.7%

Most occurring characters

Value	Count	Frequency (%)
/	58538	20.0%
1	56803	19.4%
9	40189	13.7%
0	39743	13.6%
2	20293	6.9%
7	17507	6.0%
8	16504	5.6%
6	14401	4.9%
5	10490	3.6%
3	9775	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	234152	80.0%
Other Punctuation	58538	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	56803	24.3%
9	40189	17.2%
0	39743	17.0%
2	20293	8.7%
7	17507	7.5%
8	16504	7.0%
6	14401	6.2%
5	10490	4.5%
3	9775	4.2%
4	8447	3.6%

Other Punctuation

Value	Count	Frequency (%)
/	58538	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	292690	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	58538	20.0%
1	56803	19.4%
9	40189	13.7%
0	39743	13.6%
2	20293	6.9%
7	17507	6.0%
8	16504	5.6%
6	14401	4.9%
5	10490	3.6%
3	9775	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	292690	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	58538	20.0%
1	56803	19.4%
9	40189	13.7%
0	39743	13.6%
2	20293	6.9%
7	17507	6.0%
8	16504	5.6%
6	14401	4.9%
5	10490	3.6%
3	9775	3.3%

NR_IDADE_DATA_POSSE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	71
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.0925211

Minimum	16
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	16
5-th percentile	26
Q1	36
median	44
Q3	52
95-th percentile	63
Maximum	93
Range	77
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.3282998
Coefficient of variation (CV)	0.2569211176
Kurtosis	-0.2781815463
Mean	44.0925211
Median Absolute Deviation (MAD)	8
Skewness	0.1710513793
Sum	1290544
Variance	128.3303763
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38	1006	3.4%
42	1004	3.4%
39	1000	3.4%
41	994	3.4%
46	969	3.3%
43	967	3.3%
48	954	3.3%
40	942	3.2%
45	929	3.2%
44	919	3.1%
Other values (61)	19585	66.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16	1	< 0.1%
18	50	0.2%
19	107	0.4%
20	136	0.5%
21	170	0.6%
22	189	0.6%
23	229	0.8%
24	260	0.9%
25	287	1.0%
26	311	1.1%

Value	Count	Frequency (%)
93	1	< 0.1%
86	1	< 0.1%
85	1	< 0.1%
84	5	< 0.1%
83	5	< 0.1%
82	4	< 0.1%
81	8	< 0.1%
80	7	< 0.1%
79	5	< 0.1%
78	16	0.1%

NR_TITULO_ELEITORAL_CANDIDATO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	29248
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.195649374 × 10¹⁰

Minimum	1861643
Maximum	4.466430901 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	1861643
5-th percentile	5925635638
Q1	1.809688164 × 10¹⁰
median	3.54803016 × 10¹⁰
Q3	5.737670081 × 10¹⁰
95-th percentile	8.811822084 × 10¹⁰
Maximum	4.466430901 × 10¹¹
Range	4.466412285 × 10¹¹
Interquartile range (IQR)	3.927981917 × 10¹⁰

Descriptive statistics

Standard deviation	3.586608738 × 10¹⁰
Coefficient of variation (CV)	0.8548399589
Kurtosis	24.44809591
Mean	4.195649374 × 10¹⁰
Median Absolute Deviation (MAD)	1.896359997 × 10¹⁰
Skewness	3.677645537
Sum	1.228024615 × 10¹⁵
Variance	1.286376224 × 10²¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.166361087 × 10¹⁰	2	< 0.1%
2.683155084 × 10¹⁰	2	< 0.1%
4.591093087 × 10¹⁰	2	< 0.1%
2.54364316 × 10¹⁰	2	< 0.1%
6.193951081 × 10¹⁰	2	< 0.1%
7.534179084 × 10¹⁰	2	< 0.1%
3.882025081 × 10¹⁰	2	< 0.1%
3.747118081 × 10¹⁰	2	< 0.1%
5.847753085 × 10¹⁰	2	< 0.1%
1.111430164 × 10¹⁰	2	< 0.1%
Other values (29238)	29249	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1861643	1	< 0.1%
4491694	1	< 0.1%
8270833	1	< 0.1%
9831600	1	< 0.1%
11591627	1	< 0.1%
20731678	1	< 0.1%
22610868	1	< 0.1%
38761686	1	< 0.1%
39940825	1	< 0.1%
47750892	1	< 0.1%

Value	Count	Frequency (%)
4.466430901 × 10¹¹	1	< 0.1%
4.444921501 × 10¹¹	1	< 0.1%
4.316098802 × 10¹¹	1	< 0.1%
4.222241501 × 10¹¹	1	< 0.1%
4.195454602 × 10¹¹	1	< 0.1%
4.079063601 × 10¹¹	1	< 0.1%
4.073169002 × 10¹¹	1	< 0.1%
4.067374101 × 10¹¹	1	< 0.1%
4.062011802 × 10¹¹	1	< 0.1%
4.018980702 × 10¹¹	1	< 0.1%

CD_GENERO
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

2	19311
4	9958

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29269
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	2
3rd row	2
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
2	19311	66.0%
4	9958	34.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	19311	66.0%
4	9958	34.0%

Most occurring characters

Value	Count	Frequency (%)
2	19311	66.0%
4	9958	34.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29269	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	19311	66.0%
4	9958	34.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	29269	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	19311	66.0%
4	9958	34.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	19311	66.0%
4	9958	34.0%

DS_GENERO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

MASCULINO	19311
FEMININO	9958

Length

Max length	9
Median length	9
Mean length	8.659776555
Min length	8

Characters and Unicode

Total characters	253463
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FEMININO
2nd row	MASCULINO
3rd row	MASCULINO
4th row	FEMININO
5th row	FEMININO

Common Values

Value	Count	Frequency (%)
MASCULINO	19311	66.0%
FEMININO	9958	34.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
masculino	19311	66.0%
feminino	9958	34.0%

Most occurring characters

Value	Count	Frequency (%)
I	39227	15.5%
N	39227	15.5%
M	29269	11.5%
O	29269	11.5%
A	19311	7.6%
S	19311	7.6%
C	19311	7.6%
U	19311	7.6%
L	19311	7.6%
F	9958	3.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	253463	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	39227	15.5%
N	39227	15.5%
M	29269	11.5%
O	29269	11.5%
A	19311	7.6%
S	19311	7.6%
C	19311	7.6%
U	19311	7.6%
L	19311	7.6%
F	9958	3.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	253463	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	39227	15.5%
N	39227	15.5%
M	29269	11.5%
O	29269	11.5%
A	19311	7.6%
S	19311	7.6%
C	19311	7.6%
U	19311	7.6%
L	19311	7.6%
F	9958	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	253463	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	39227	15.5%
N	39227	15.5%
M	29269	11.5%
O	29269	11.5%
A	19311	7.6%
S	19311	7.6%
C	19311	7.6%
U	19311	7.6%
L	19311	7.6%
F	9958	3.9%

CD_GRAU_INSTRUCAO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.627387338

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	4
median	6
Q3	6
95-th percentile	8
Maximum	8
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.701544514
Coefficient of variation (CV)	0.3023684727
Kurtosis	-0.7435443632
Mean	5.627387338
Median Absolute Deviation (MAD)	1
Skewness	-0.339960152
Sum	164708
Variance	2.895253735
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
6	12667	43.3%
8	5731	19.6%
3	4027	13.8%
4	3184	10.9%
5	1584	5.4%
7	1194	4.1%
2	881	3.0%
1	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	881	3.0%
3	4027	13.8%
4	3184	10.9%
5	1584	5.4%
6	12667	43.3%
7	1194	4.1%
8	5731	19.6%

Value	Count	Frequency (%)
8	5731	19.6%
7	1194	4.1%
6	12667	43.3%
5	1584	5.4%
4	3184	10.9%
3	4027	13.8%
2	881	3.0%
1	1	< 0.1%

DS_GRAU_INSTRUCAO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

ENSINO MÉDIO COMPLETO	12667
SUPERIOR COMPLETO	5731
ENSINO FUNDAMENTAL INCOMPLETO	4027
ENSINO FUNDAMENTAL COMPLETO	3184
ENSINO MÉDIO INCOMPLETO	1584
Other values (3)	2076

Length

Max length	29
Median length	21
Mean length	21.7255458
Min length	10

Characters and Unicode

Total characters	635885
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	ENSINO MÉDIO COMPLETO
2nd row	ENSINO FUNDAMENTAL INCOMPLETO
3rd row	SUPERIOR COMPLETO
4th row	SUPERIOR COMPLETO
5th row	SUPERIOR COMPLETO

Common Values

Value	Count	Frequency (%)
ENSINO MÉDIO COMPLETO	12667	43.3%
SUPERIOR COMPLETO	5731	19.6%
ENSINO FUNDAMENTAL INCOMPLETO	4027	13.8%
ENSINO FUNDAMENTAL COMPLETO	3184	10.9%
ENSINO MÉDIO INCOMPLETO	1584	5.4%
SUPERIOR INCOMPLETO	1194	4.1%
LÊ E ESCREVE	881	3.0%
ANALFABETO	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
completo	21582	26.7%
ensino	21462	26.5%
médio	14251	17.6%
fundamental	7211	8.9%
superior	6925	8.6%
incompleto	6805	8.4%
lê	881	1.1%
e	881	1.1%
escreve	881	1.1%
analfabeto	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
O	99413	15.6%
E	67510	10.6%
N	64152	10.1%
	51611	8.1%
M	49849	7.8%
I	49443	7.8%
L	36480	5.7%
T	35599	5.6%
P	35312	5.6%
S	29268	4.6%
Other values (10)	117248	18.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	584274	91.9%
Space Separator	51611	8.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	99413	17.0%
E	67510	11.6%
N	64152	11.0%
M	49849	8.5%
I	49443	8.5%
L	36480	6.2%
T	35599	6.1%
P	35312	6.0%
S	29268	5.0%
C	29268	5.0%
Other values (9)	87980	15.1%

Space Separator

Value	Count	Frequency (%)
	51611	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	584274	91.9%
Common	51611	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	99413	17.0%
E	67510	11.6%
N	64152	11.0%
M	49849	8.5%
I	49443	8.5%
L	36480	6.2%
T	35599	6.1%
P	35312	6.0%
S	29268	5.0%
C	29268	5.0%
Other values (9)	87980	15.1%

Common

Value	Count	Frequency (%)
	51611	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	620753	97.6%
Latin 1 Sup	15132	2.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	99413	16.0%
E	67510	10.9%
N	64152	10.3%
	51611	8.3%
M	49849	8.0%
I	49443	8.0%
L	36480	5.9%
T	35599	5.7%
P	35312	5.7%
S	29268	4.7%
Other values (8)	102116	16.5%

Latin 1 Sup

Value	Count	Frequency (%)
É	14251	94.2%
Ê	881	5.8%

CD_ESTADO_CIVIL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

3	14592
1	11998
9	2095
5	460
7	124

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29269
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	9
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
3	14592	49.9%
1	11998	41.0%
9	2095	7.2%
5	460	1.6%
7	124	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	14592	49.9%
1	11998	41.0%
9	2095	7.2%
5	460	1.6%
7	124	0.4%

Most occurring characters

Value	Count	Frequency (%)
3	14592	49.9%
1	11998	41.0%
9	2095	7.2%
5	460	1.6%
7	124	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29269	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	14592	49.9%
1	11998	41.0%
9	2095	7.2%
5	460	1.6%
7	124	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	29269	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	14592	49.9%
1	11998	41.0%
9	2095	7.2%
5	460	1.6%
7	124	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	14592	49.9%
1	11998	41.0%
9	2095	7.2%
5	460	1.6%
7	124	0.4%

DS_ESTADO_CIVIL
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

CASADO(A)	14592
SOLTEIRO(A)	11998
DIVORCIADO(A)	2095
VIÚVO(A)	460
SEPARADO(A) JUDICIALMENTE	124

Length

Max length	25
Median length	9
Mean length	10.15822201
Min length	8

Characters and Unicode

Total characters	297321
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CASADO(A)
2nd row	CASADO(A)
3rd row	DIVORCIADO(A)
4th row	SOLTEIRO(A)
5th row	SOLTEIRO(A)

Common Values

Value	Count	Frequency (%)
CASADO(A)	14592	49.9%
SOLTEIRO(A)	11998	41.0%
DIVORCIADO(A)	2095	7.2%
VIÚVO(A)	460	1.6%
SEPARADO(A) JUDICIALMENTE	124	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
casado(a	14592	49.6%
solteiro(a	11998	40.8%
divorciado(a	2095	7.1%
viúvo(a	460	1.6%
separado(a	124	0.4%
judicialmente	124	0.4%

Most occurring characters

Value	Count	Frequency (%)
A	60920	20.5%
O	43362	14.6%
(	29269	9.8%
)	29269	9.8%
S	26714	9.0%
D	19030	6.4%
I	16896	5.7%
C	16811	5.7%
R	14217	4.8%
E	12370	4.2%
Other values (10)	28463	9.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	238659	80.3%
Open Punctuation	29269	9.8%
Close Punctuation	29269	9.8%
Space Separator	124	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	60920	25.5%
O	43362	18.2%
S	26714	11.2%
D	19030	8.0%
I	16896	7.1%
C	16811	7.0%
R	14217	6.0%
E	12370	5.2%
L	12122	5.1%
T	12122	5.1%
Other values (7)	4095	1.7%

Open Punctuation

Value	Count	Frequency (%)
(	29269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	29269	100.0%

Space Separator

Value	Count	Frequency (%)
	124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	238659	80.3%
Common	58662	19.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	60920	25.5%
O	43362	18.2%
S	26714	11.2%
D	19030	8.0%
I	16896	7.1%
C	16811	7.0%
R	14217	6.0%
E	12370	5.2%
L	12122	5.1%
T	12122	5.1%
Other values (7)	4095	1.7%

Common

Value	Count	Frequency (%)
(	29269	49.9%
)	29269	49.9%
	124	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	296861	99.8%
Latin 1 Sup	460	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	60920	20.5%
O	43362	14.6%
(	29269	9.9%
)	29269	9.9%
S	26714	9.0%
D	19030	6.4%
I	16896	5.7%
C	16811	5.7%
R	14217	4.8%
E	12370	4.2%
Other values (9)	28003	9.4%

Latin 1 Sup

Value	Count	Frequency (%)
Ú	460	100.0%

CD_COR_RACA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.204243397

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	3
95-th percentile	3
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.007946982
Coefficient of variation (CV)	0.4572757181
Kurtosis	-0.172682273
Mean	2.204243397
Median Absolute Deviation (MAD)	0
Skewness	0.1692089897
Sum	64516
Variance	1.015957119
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	15106	51.6%
1	10620	36.3%
2	3094	10.6%
6	232	0.8%
5	130	0.4%
4	87	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	10620	36.3%
2	3094	10.6%
3	15106	51.6%
4	87	0.3%
5	130	0.4%
6	232	0.8%

Value	Count	Frequency (%)
6	232	0.8%
5	130	0.4%
4	87	0.3%
3	15106	51.6%
2	3094	10.6%
1	10620	36.3%

DS_COR_RACA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

PARDA	15106
BRANCA	10620
PRETA	3094
SEM INFORMAÇÃO	232
INDÍGENA	130

Length

Max length	14
Median length	5
Mean length	5.453449042
Min length	5

Characters and Unicode

Total characters	159617
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PARDA
2nd row	PARDA
3rd row	BRANCA
4th row	PARDA
5th row	PARDA

Common Values

Value	Count	Frequency (%)
PARDA	15106	51.6%
BRANCA	10620	36.3%
PRETA	3094	10.6%
SEM INFORMAÇÃO	232	0.8%
INDÍGENA	130	0.4%
AMARELA	87	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
parda	15106	51.2%
branca	10620	36.0%
preta	3094	10.5%
sem	232	0.8%
informação	232	0.8%
indígena	130	0.4%
amarela	87	0.3%

Most occurring characters

Value	Count	Frequency (%)
A	55169	34.6%
R	29139	18.3%
P	18200	11.4%
D	15236	9.5%
N	11112	7.0%
B	10620	6.7%
C	10620	6.7%
E	3543	2.2%
T	3094	1.9%
M	551	0.3%
Other values (10)	2333	1.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	159385	99.9%
Space Separator	232	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	55169	34.6%
R	29139	18.3%
P	18200	11.4%
D	15236	9.6%
N	11112	7.0%
B	10620	6.7%
C	10620	6.7%
E	3543	2.2%
T	3094	1.9%
M	551	0.3%
Other values (9)	2101	1.3%

Space Separator

Value	Count	Frequency (%)
	232	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	159385	99.9%
Common	232	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	55169	34.6%
R	29139	18.3%
P	18200	11.4%
D	15236	9.6%
N	11112	7.0%
B	10620	6.7%
C	10620	6.7%
E	3543	2.2%
T	3094	1.9%
M	551	0.3%
Other values (9)	2101	1.3%

Common

Value	Count	Frequency (%)
	232	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	159023	99.6%
Latin 1 Sup	594	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	55169	34.7%
R	29139	18.3%
P	18200	11.4%
D	15236	9.6%
N	11112	7.0%
B	10620	6.7%
C	10620	6.7%
E	3543	2.2%
T	3094	1.9%
M	551	0.3%
Other values (7)	1739	1.1%

Latin 1 Sup

Value	Count	Frequency (%)
Ç	232	39.1%
Ã	232	39.1%
Í	130	21.9%

CD_OCUPACAO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	198
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	532.3448017

Minimum	101
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	101
5-th percentile	131
Q1	257
median	532
Q3	931
95-th percentile	999
Maximum	999
Range	898
Interquartile range (IQR)	674

Descriptive statistics

Standard deviation	321.9718176
Coefficient of variation (CV)	0.6048181866
Kurtosis	-1.39152458
Mean	532.3448017
Median Absolute Deviation (MAD)	278
Skewness	0.3528004752
Sum	15581200
Variance	103665.8513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
999	6756	23.1%
601	3980	13.6%
169	1945	6.6%
278	1844	6.3%
298	1490	5.1%
257	1073	3.7%
581	992	3.4%
931	678	2.3%
923	618	2.1%
265	608	2.1%
Other values (188)	9285	31.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
101	92	0.3%
102	12	< 0.1%
103	11	< 0.1%
104	1	< 0.1%
106	1	< 0.1%
109	326	1.1%
110	14	< 0.1%
111	59	0.2%
112	22	0.1%
113	229	0.8%

Value	Count	Frequency (%)
999	6756	23.1%
931	678	2.3%
923	618	2.1%
922	57	0.2%
921	65	0.2%
910	26	0.1%
715	1	< 0.1%
713	59	0.2%
712	4	< 0.1%
711	2	< 0.1%

DS_OCUPACAO
Categorical

HIGH CARDINALITY

Distinct	198
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

OUTROS	6756
AGRICULTOR	3980
COMERCIANTE	1945
VEREADOR	1844
SERVIDOR PÚBLICO MUNICIPAL	1490
Other values (193)	13254

Length

Max length	70
Median length	10
Mean length	16.3958796
Min length	6

Characters and Unicode

Total characters	479891
Distinct characters	40
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	< 0.1%

Sample

1st row	OUTROS
2nd row	OUTROS
3rd row	ADVOGADO
4th row	SERVIDOR PÚBLICO MUNICIPAL
5th row	OUTROS

Common Values

Value	Count	Frequency (%)
OUTROS	6756	23.1%
AGRICULTOR	3980	13.6%
COMERCIANTE	1945	6.6%
VEREADOR	1844	6.3%
SERVIDOR PÚBLICO MUNICIPAL	1490	5.1%
EMPRESÁRIO	1073	3.7%
DONA DE CASA	992	3.4%
ESTUDANTE, BOLSISTA, ESTAGIÁRIO E ASSEMELHADOS	678	2.3%
APOSENTADO (EXCETO SERVIDOR PÚBLICO)	618	2.1%
PROFESSOR DE ENSINO FUNDAMENTAL	608	2.1%
Other values (188)	9285	31.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
outros	6756	11.1%
de	5587	9.2%
agricultor	3980	6.5%
e	3705	6.1%
servidor	2553	4.2%
público	2553	4.2%
comerciante	1945	3.2%
vereador	1844	3.0%
assemelhados	1782	2.9%
municipal	1490	2.4%
Other values (325)	28774	47.2%

Most occurring characters

Value	Count	Frequency (%)
O	54407	11.3%
E	48696	10.1%
R	46929	9.8%
A	39591	8.2%
I	35145	7.3%
S	33392	7.0%
	31700	6.6%
T	31170	6.5%
C	21885	4.6%
D	20932	4.4%
Other values (30)	116044	24.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	443589	92.4%
Space Separator	31700	6.6%
Other Punctuation	2550	0.5%
Open Punctuation	928	0.2%
Close Punctuation	928	0.2%
Dash Punctuation	196	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	54407	12.3%
E	48696	11.0%
R	46929	10.6%
A	39591	8.9%
I	35145	7.9%
S	33392	7.5%
T	31170	7.0%
C	21885	4.9%
D	20932	4.7%
L	16897	3.8%
Other values (25)	94545	21.3%

Space Separator

Value	Count	Frequency (%)
	31700	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	2550	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	928	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	928	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	196	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	443589	92.4%
Common	36302	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	54407	12.3%
E	48696	11.0%
R	46929	10.6%
A	39591	8.9%
I	35145	7.9%
S	33392	7.5%
T	31170	7.0%
C	21885	4.9%
D	20932	4.7%
L	16897	3.8%
Other values (25)	94545	21.3%

Common

Value	Count	Frequency (%)
	31700	87.3%
,	2550	7.0%
(	928	2.6%
)	928	2.6%
-	196	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	470637	98.1%
Latin 1 Sup	9254	1.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	54407	11.6%
E	48696	10.3%
R	46929	10.0%
A	39591	8.4%
I	35145	7.5%
S	33392	7.1%
	31700	6.7%
T	31170	6.6%
C	21885	4.7%
D	20932	4.4%
Other values (19)	106790	22.7%

Latin 1 Sup

Value	Count	Frequency (%)
Ú	3027	32.7%
Á	2229	24.1%
É	1403	15.2%
Í	639	6.9%
Ã	617	6.7%
Ó	568	6.1%
Ç	518	5.6%
Â	133	1.4%
Ô	52	0.6%
Õ	47	0.5%

VR_DESPESA_MAX_CAMPANHA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	163
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	80446.86454

Minimum	12307.75
Maximum	1011149.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	12307.75
5-th percentile	12307.75
Q1	12307.75
median	24617.75
Q3	52266.32
95-th percentile	386587.77
Maximum	1011149.65
Range	998841.9
Interquartile range (IQR)	39958.57

Descriptive statistics

Standard deviation	179853.6182
Coefficient of variation (CV)	2.235682139
Kurtosis	19.18798663
Mean	80446.86454
Median Absolute Deviation (MAD)	12310
Skewness	4.352770347
Sum	2354599278
Variance	3.234732398 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12307.75	8912	30.4%
1011149.65	896	3.1%
138639.74	757	2.6%
386587.77	736	2.5%
105385.98	584	2.0%
109902.99	561	1.9%
55870.31	553	1.9%
222300.63	476	1.6%
149376.8	468	1.6%
24175.84	468	1.6%
Other values (153)	14858	50.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12307.75	8912	30.4%
15268	154	0.5%
15281.35	20	0.1%
15449.03	37	0.1%
15466.57	72	0.2%
15585.59	49	0.2%
15674.57	16	0.1%
15733.23	32	0.1%
16224.97	23	0.1%
16330.76	29	0.1%

Value	Count	Frequency (%)
1011149.65	896	3.1%
386587.77	736	2.5%
222300.63	476	1.6%
210013.89	339	1.2%
149376.8	468	1.6%
138639.74	757	2.6%
134612.46	273	0.9%
131218.52	373	1.3%
109902.99	561	1.9%
106601.98	307	1.0%

CD_SIT_TOT_TURNO
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

5	17080
4	7487
2	2861
3	944
-1	897

Length

Max length	2
Median length	1
Mean length	1.030646759
Min length	1

Characters and Unicode

Total characters	30166
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	2
5th row	-1

Common Values

Value	Count	Frequency (%)
5	17080	58.4%
4	7487	25.6%
2	2861	9.8%
3	944	3.2%
-1	897	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
5	17080	58.4%
4	7487	25.6%
2	2861	9.8%
3	944	3.2%
1	897	3.1%

Most occurring characters

Value	Count	Frequency (%)
5	17080	56.6%
4	7487	24.8%
2	2861	9.5%
3	944	3.1%
-	897	3.0%
1	897	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29269	97.0%
Dash Punctuation	897	3.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	17080	58.4%
4	7487	25.6%
2	2861	9.8%
3	944	3.2%
1	897	3.1%

Dash Punctuation

Value	Count	Frequency (%)
-	897	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	30166	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	17080	56.6%
4	7487	24.8%
2	2861	9.5%
3	944	3.1%
-	897	3.0%
1	897	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30166	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	17080	56.6%
4	7487	24.8%
2	2861	9.5%
3	944	3.1%
-	897	3.0%
1	897	3.0%

DS_SIT_TOT_TURNO
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	897
Missing (%)	3.1%
Memory size	228.8 KiB

SUPLENTE	17080
NÃO ELEITO	7487
ELEITO POR QP	2861
ELEITO POR MÉDIA	944

Length

Max length	16
Median length	8
Mean length	9.298146059
Min length	8

Characters and Unicode

Total characters	263807
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SUPLENTE
2nd row	SUPLENTE
3rd row	SUPLENTE
4th row	ELEITO POR QP
5th row	SUPLENTE

Common Values

Value	Count	Frequency (%)
SUPLENTE	17080	58.4%
NÃO ELEITO	7487	25.6%
ELEITO POR QP	2861	9.8%
ELEITO POR MÉDIA	944	3.2%
(Missing)	897	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
suplente	17080	39.3%
eleito	11292	26.0%
não	7487	17.2%
por	3805	8.8%
qp	2861	6.6%
média	944	2.2%

Most occurring characters

Value	Count	Frequency (%)
E	56744	21.5%
L	28372	10.8%
T	28372	10.8%
N	24567	9.3%
P	23746	9.0%
O	22584	8.6%
S	17080	6.5%
U	17080	6.5%
	15097	5.7%
I	12236	4.6%
Other values (7)	17929	6.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	248710	94.3%
Space Separator	15097	5.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	56744	22.8%
L	28372	11.4%
T	28372	11.4%
N	24567	9.9%
P	23746	9.5%
O	22584	9.1%
S	17080	6.9%
U	17080	6.9%
I	12236	4.9%
Ã	7487	3.0%
Other values (6)	10442	4.2%

Space Separator

Value	Count	Frequency (%)
	15097	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	248710	94.3%
Common	15097	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	56744	22.8%
L	28372	11.4%
T	28372	11.4%
N	24567	9.9%
P	23746	9.5%
O	22584	9.1%
S	17080	6.9%
U	17080	6.9%
I	12236	4.9%
Ã	7487	3.0%
Other values (6)	10442	4.2%

Common

Value	Count	Frequency (%)
	15097	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	255376	96.8%
Latin 1 Sup	8431	3.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	56744	22.2%
L	28372	11.1%
T	28372	11.1%
N	24567	9.6%
P	23746	9.3%
O	22584	8.8%
S	17080	6.7%
U	17080	6.7%
	15097	5.9%
I	12236	4.8%
Other values (5)	9498	3.7%

Latin 1 Sup

Value	Count	Frequency (%)
Ã	7487	88.8%
É	944	11.2%

ST_REELEICAO
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

N	27885
S	1384

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29269
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	N
2nd row	N
3rd row	N
4th row	N
5th row	N

Common Values

Value	Count	Frequency (%)
N	27885	95.3%
S	1384	4.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
n	27885	95.3%
s	1384	4.7%

Most occurring characters

Value	Count	Frequency (%)
N	27885	95.3%
S	1384	4.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	29269	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	27885	95.3%
S	1384	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29269	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	27885	95.3%
S	1384	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	27885	95.3%
S	1384	4.7%

ST_DECLARAR_BENS
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

S	24283
N	4986

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29269
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	N
2nd row	S
3rd row	S
4th row	S
5th row	S

Common Values

Value	Count	Frequency (%)
S	24283	83.0%
N	4986	17.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
s	24283	83.0%
n	4986	17.0%

Most occurring characters

Value	Count	Frequency (%)
S	24283	83.0%
N	4986	17.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	29269	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	24283	83.0%
N	4986	17.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29269	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	24283	83.0%
N	4986	17.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	24283	83.0%
N	4986	17.0%

NR_PROTOCOLO_CANDIDATURA
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

-1	29269

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	58538
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-1
2nd row	-1
3rd row	-1
4th row	-1
5th row	-1

Common Values

Value	Count	Frequency (%)
-1	29269	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	29269	100.0%

Most occurring characters

Value	Count	Frequency (%)
-	29269	50.0%
1	29269	50.0%

Most occurring categories

Value	Count	Frequency (%)
Dash Punctuation	29269	50.0%
Decimal Number	29269	50.0%

Most frequent character per category

Dash Punctuation

Value	Count	Frequency (%)
-	29269	100.0%

Decimal Number

Value	Count	Frequency (%)
1	29269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	58538	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	29269	50.0%
1	29269	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58538	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	29269	50.0%
1	29269	50.0%

NR_PROCESSO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	29269
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.00223464 × 10¹⁸

Minimum	6.00012572 × 10¹⁸
Maximum	6.01168752 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.8 KiB

Quantile statistics

Minimum	6.00012572 × 10¹⁸
5-th percentile	6.00060026 × 10¹⁸
Q1	6.00121692 × 10¹⁸
median	6.00191312 × 10¹⁸
Q3	6.00287582 × 10¹⁸
95-th percentile	6.00516638 × 10¹⁸
Maximum	6.01168752 × 10¹⁸
Range	1.15618 × 10¹⁶
Interquartile range (IQR)	1.6589 × 10¹⁵

Descriptive statistics

Standard deviation	1.400676096 × 10¹⁵
Coefficient of variation (CV)	0.0002333591037
Kurtosis	2.013416717
Mean	6.00223464 × 10¹⁸
Median Absolute Deviation (MAD)	7.884 × 10¹⁴
Skewness	1.315735008
Sum	-7.384873995 × 10¹⁸
Variance	1.961893525 × 10³⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.00472472 × 10¹⁸	1	< 0.1%
6.00258782 × 10¹⁸	1	< 0.1%
6.00464642 × 10¹⁸	1	< 0.1%
6.00651302 × 10¹⁸	1	< 0.1%
6.00224852 × 10¹⁸	1	< 0.1%
6.00385602 × 10¹⁸	1	< 0.1%
6.00357122 × 10¹⁸	1	< 0.1%
6.00545682 × 10¹⁸	1	< 0.1%
6.00171192 × 10¹⁸	1	< 0.1%
6.00591022 × 10¹⁸	1	< 0.1%
Other values (29259)	29259	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6.00012572 × 10¹⁸	1	< 0.1%
6.00013422 × 10¹⁸	1	< 0.1%
6.00013972 × 10¹⁸	1	< 0.1%
6.00014272 × 10¹⁸	1	< 0.1%
6.00014822 × 10¹⁸	1	< 0.1%
6.00015112 × 10¹⁸	1	< 0.1%
6.00015122 × 10¹⁸	1	< 0.1%
6.00016932 × 10¹⁸	1	< 0.1%
6.00016942 × 10¹⁸	1	< 0.1%
6.00017782 × 10¹⁸	1	< 0.1%

Value	Count	Frequency (%)
6.01168752 × 10¹⁸	1	< 0.1%
6.01155222 × 10¹⁸	1	< 0.1%
6.01154372 × 10¹⁸	1	< 0.1%
6.01135392 × 10¹⁸	1	< 0.1%
6.01033782 × 10¹⁸	1	< 0.1%
6.01031112 × 10¹⁸	1	< 0.1%
6.01029412 × 10¹⁸	1	< 0.1%
6.01028562 × 10¹⁸	1	< 0.1%
6.00948652 × 10¹⁸	1	< 0.1%
6.00875842 × 10¹⁸	1	< 0.1%

CD_SITUACAO_CANDIDATO_PLEITO
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.063275138

Minimum	-1
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	897
Negative (%)	3.1%
Memory size	228.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	2
Q1	2
median	2
Q3	2
95-th percentile	2
Maximum	17
Range	18
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.379490313
Coefficient of variation (CV)	0.6685925148
Kurtosis	60.56552857
Mean	2.063275138
Median Absolute Deviation (MAD)	0
Skewness	6.843158068
Sum	60390
Variance	1.902993523
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	27765	94.9%
-1	897	3.1%
14	276	0.9%
4	183	0.6%
6	117	0.4%
16	22	0.1%
13	3	< 0.1%
17	3	< 0.1%
5	2	< 0.1%
7	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	897	3.1%
2	27765	94.9%
4	183	0.6%
5	2	< 0.1%
6	117	0.4%
7	1	< 0.1%
13	3	< 0.1%
14	276	0.9%
16	22	0.1%
17	3	< 0.1%

Value	Count	Frequency (%)
17	3	< 0.1%
16	22	0.1%
14	276	0.9%
13	3	< 0.1%
7	1	< 0.1%
6	117	0.4%
5	2	< 0.1%
4	183	0.6%
2	27765	94.9%
-1	897	3.1%

DS_SITUACAO_CANDIDATO_PLEITO
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	897
Missing (%)	3.1%
Memory size	228.8 KiB

DEFERIDO	27765
INDEFERIDO	276
INDEFERIDO COM RECURSO	183
RENÚNCIA	117
DEFERIDO COM RECURSO	22
Other values (4)	9

Length

Max length	22
Median length	8
Mean length	8.121880727
Min length	8

Characters and Unicode

Total characters	230434
Distinct characters	21
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	DEFERIDO
2nd row	DEFERIDO
3rd row	DEFERIDO
4th row	DEFERIDO
5th row	DEFERIDO

Common Values

Value	Count	Frequency (%)
DEFERIDO	27765	94.9%
INDEFERIDO	276	0.9%
INDEFERIDO COM RECURSO	183	0.6%
RENÚNCIA	117	0.4%
DEFERIDO COM RECURSO	22	0.1%
PEDIDO NÃO CONHECIDO	3	< 0.1%
PENDENTE DE JULGAMENTO	3	< 0.1%
CANCELADO	2	< 0.1%
FALECIDO	1	< 0.1%
(Missing)	897	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
deferido	27787	96.5%
indeferido	459	1.6%
com	205	0.7%
recurso	205	0.7%
renúncia	117	0.4%
pedido	3	< 0.1%
não	3	< 0.1%
conhecido	3	< 0.1%
pendente	3	< 0.1%
de	3	< 0.1%
Other values (3)	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	56838	24.7%
D	56510	24.5%
I	28829	12.5%
R	28773	12.5%
O	28674	12.4%
F	28247	12.3%
N	710	0.3%
C	538	0.2%
	422	0.2%
M	208	0.1%
Other values (11)	685	0.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	230012	99.8%
Space Separator	422	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	56838	24.7%
D	56510	24.6%
I	28829	12.5%
R	28773	12.5%
O	28674	12.5%
F	28247	12.3%
N	710	0.3%
C	538	0.2%
M	208	0.1%
U	208	0.1%
Other values (10)	477	0.2%

Space Separator

Value	Count	Frequency (%)
	422	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	230012	99.8%
Common	422	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	56838	24.7%
D	56510	24.6%
I	28829	12.5%
R	28773	12.5%
O	28674	12.5%
F	28247	12.3%
N	710	0.3%
C	538	0.2%
M	208	0.1%
U	208	0.1%
Other values (10)	477	0.2%

Common

Value	Count	Frequency (%)
	422	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	230314	99.9%
Latin 1 Sup	120	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	56838	24.7%
D	56510	24.5%
I	28829	12.5%
R	28773	12.5%
O	28674	12.4%
F	28247	12.3%
N	710	0.3%
C	538	0.2%
	422	0.2%
M	208	0.1%
Other values (9)	565	0.2%

Latin 1 Sup

Value	Count	Frequency (%)
Ú	117	97.5%
Ã	3	2.5%

CD_SITUACAO_CANDIDATO_URNA
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.054665346

Minimum	-1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	897
Negative (%)	3.1%
Memory size	228.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	2
Q1	2
median	2
Q3	2
95-th percentile	2
Maximum	20
Range	21
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.379635457
Coefficient of variation (CV)	0.671464801
Kurtosis	89.11920612
Mean	2.054665346
Median Absolute Deviation (MAD)	0
Skewness	8.299841542
Sum	60138
Variance	1.903393995
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	27560	94.2%
-1	897	3.1%
4	601	2.1%
17	117	0.4%
16	89	0.3%
20	3	< 0.1%
19	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	897	3.1%
2	27560	94.2%
4	601	2.1%
16	89	0.3%
17	117	0.4%
19	2	< 0.1%
20	3	< 0.1%

Value	Count	Frequency (%)
20	3	< 0.1%
19	2	< 0.1%
17	117	0.4%
16	89	0.3%
4	601	2.1%
2	27560	94.2%
-1	897	3.1%

DS_SITUACAO_CANDIDATO_URNA
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	897
Missing (%)	3.1%
Memory size	228.8 KiB

DEFERIDO	27560
INDEFERIDO COM RECURSO	601
PENDENTE DE JULGAMENTO	117
DEFERIDO COM RECURSO	89
PEDIDO NÃO CONHECIDO COM RECURSO	3

Length

Max length	32
Median length	8
Mean length	8.395389821
Min length	8

Characters and Unicode

Total characters	238194
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DEFERIDO
2nd row	DEFERIDO
3rd row	DEFERIDO
4th row	DEFERIDO
5th row	DEFERIDO

Common Values

Value	Count	Frequency (%)
DEFERIDO	27560	94.2%
INDEFERIDO COM RECURSO	601	2.1%
PENDENTE DE JULGAMENTO	117	0.4%
DEFERIDO COM RECURSO	89	0.3%
PEDIDO NÃO CONHECIDO COM RECURSO	3	< 0.1%
CANCELADO COM RECURSO	2	< 0.1%
(Missing)	897	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
deferido	27649	92.2%
com	695	2.3%
recurso	695	2.3%
indeferido	601	2.0%
pendente	117	0.4%
de	117	0.4%
julgamento	117	0.4%
pedido	3	< 0.1%
não	3	< 0.1%
conhecido	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	57788	24.3%
D	56745	23.8%
O	29771	12.5%
R	29640	12.4%
I	28857	12.1%
F	28250	11.9%
	1630	0.7%
C	1400	0.6%
N	960	0.4%
M	812	0.3%
Other values (10)	2341	1.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	236564	99.3%
Space Separator	1630	0.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	57788	24.4%
D	56745	24.0%
O	29771	12.6%
R	29640	12.5%
I	28857	12.2%
F	28250	11.9%
C	1400	0.6%
N	960	0.4%
M	812	0.3%
U	812	0.3%
Other values (9)	1529	0.6%

Space Separator

Value	Count	Frequency (%)
	1630	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	236564	99.3%
Common	1630	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	57788	24.4%
D	56745	24.0%
O	29771	12.6%
R	29640	12.5%
I	28857	12.2%
F	28250	11.9%
C	1400	0.6%
N	960	0.4%
M	812	0.3%
U	812	0.3%
Other values (9)	1529	0.6%

Common

Value	Count	Frequency (%)
	1630	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	238191	> 99.9%
Latin 1 Sup	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	57788	24.3%
D	56745	23.8%
O	29771	12.5%
R	29640	12.4%
I	28857	12.1%
F	28250	11.9%
	1630	0.7%
C	1400	0.6%
N	960	0.4%
M	812	0.3%
Other values (9)	2338	1.0%

Latin 1 Sup

Value	Count	Frequency (%)
Ã	3	100.0%

ST_CANDIDATO_INSERIDO_URNA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	228.8 KiB

SIM	28373
NÃO	896

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	87807
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SIM
2nd row	SIM
3rd row	SIM
4th row	SIM
5th row	NÃO

Common Values

Value	Count	Frequency (%)
SIM	28373	96.9%
NÃO	896	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sim	28373	96.9%
não	896	3.1%

Most occurring characters

Value	Count	Frequency (%)
S	28373	32.3%
I	28373	32.3%
M	28373	32.3%
N	896	1.0%
Ã	896	1.0%
O	896	1.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	87807	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	28373	32.3%
I	28373	32.3%
M	28373	32.3%
N	896	1.0%
Ã	896	1.0%
O	896	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87807	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	28373	32.3%
I	28373	32.3%
M	28373	32.3%
N	896	1.0%
Ã	896	1.0%
O	896	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	86911	99.0%
Latin 1 Sup	896	1.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	28373	32.6%
I	28373	32.6%
M	28373	32.6%
N	896	1.0%
O	896	1.0%

Latin 1 Sup

Value	Count	Frequency (%)
Ã	896	100.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	DT_GERACAO	HH_GERACAO	ANO_ELEICAO	CD_TIPO_ELEICAO	NM_TIPO_ELEICAO	NR_TURNO	CD_ELEICAO	DS_ELEICAO	DT_ELEICAO	TP_ABRANGENCIA	SG_UF	SG_UE	NM_UE	CD_CARGO	DS_CARGO	SQ_CANDIDATO	NR_CANDIDATO	NM_CANDIDATO	NM_URNA_CANDIDATO	NM_SOCIAL_CANDIDATO	NR_CPF_CANDIDATO	NM_EMAIL	CD_SITUACAO_CANDIDATURA	DS_SITUACAO_CANDIDATURA	CD_DETALHE_SITUACAO_CAND	DS_DETALHE_SITUACAO_CAND	TP_AGREMIACAO	NR_PARTIDO	SG_PARTIDO	NM_PARTIDO	SQ_COLIGACAO	NM_COLIGACAO	DS_COMPOSICAO_COLIGACAO	CD_NACIONALIDADE	DS_NACIONALIDADE	SG_UF_NASCIMENTO	CD_MUNICIPIO_NASCIMENTO	NM_MUNICIPIO_NASCIMENTO	DT_NASCIMENTO	NR_IDADE_DATA_POSSE	NR_TITULO_ELEITORAL_CANDIDATO	CD_GENERO	DS_GENERO	CD_GRAU_INSTRUCAO	DS_GRAU_INSTRUCAO	CD_ESTADO_CIVIL	DS_ESTADO_CIVIL	CD_COR_RACA	DS_COR_RACA	CD_OCUPACAO	DS_OCUPACAO	VR_DESPESA_MAX_CAMPANHA	CD_SIT_TOT_TURNO	DS_SIT_TOT_TURNO	ST_REELEICAO	ST_DECLARAR_BENS	NR_PROTOCOLO_CANDIDATURA	NR_PROCESSO	CD_SITUACAO_CANDIDATO_PLEITO	DS_SITUACAO_CANDIDATO_PLEITO	CD_SITUACAO_CANDIDATO_URNA	DS_SITUACAO_CANDIDATO_URNA	ST_CANDIDATO_INSERIDO_URNA
0	0	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	23817	CARUARU	13	VEREADOR	170001231149	17008	MARIA DE LOURDES ALVES DE SOUZA	DONA LOURDES DA BONANÇA	None	12310328472	NG_CONSULTORIA@HOTMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	17	PSL	PARTIDO SOCIAL LIBERAL	170000152093	PARTIDO ISOLADO	PSL	1	BRASILEIRA NATA	PE	-3	RECIFE	09/10/1952	68	3341960884	4	FEMININO	6	ENSINO MÉDIO COMPLETO	3	CASADO(A)	3	PARDA	999	OUTROS	149376.80	5	SUPLENTE	N	N	-1	6004724720206170105	2	DEFERIDO	2	DEFERIDO	SIM
1	1	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	23094	ÁGUAS BELAS	13	VEREADOR	170000800795	15515	JOSÉ MAREVALDO BARROS DE OLIVEIRA	MAREVALDO DA RUA 15	None	59971576449	MDBABCAMPANHA2020@GMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	15	MDB	MOVIMENTO DEMOCRÁTICO BRASILEIRO	170000078841	PARTIDO ISOLADO	MDB	1	BRASILEIRA NATA	PE	-3	ÁGUAS BELAS	28/09/1969	51	34158500825	2	MASCULINO	3	ENSINO FUNDAMENTAL INCOMPLETO	3	CASADO(A)	3	PARDA	999	OUTROS	48405.01	5	SUPLENTE	N	S	-1	6000665220206170064	2	DEFERIDO	2	DEFERIDO	SIM
2	2	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	25313	RECIFE	13	VEREADOR	170000836659	25033	JOSÉ AGNIS PERKLES RÊGO	JOSÉ AGNIS	None	61079570730	DIRETORIODEMREC25@GMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	25	DEM	DEMOCRATAS	170000088761	PARTIDO ISOLADO	DEM	1	BRASILEIRA NATA	RJ	-3	RIO DE JANEIRO	27/05/1962	58	73197820337	2	MASCULINO	8	SUPERIOR COMPLETO	9	DIVORCIADO(A)	1	BRANCA	131	ADVOGADO	1011149.65	5	SUPLENTE	N	S	-1	6001433520206170008	2	DEFERIDO	2	DEFERIDO	SIM
3	3	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	24970	OURICURI	13	VEREADOR	170000648896	45777	DELVANI SILVA SOBRAL	DELVANIA SOBRAL	None	68068123415	DELVANIA_SOBRAL@HOTMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	45	PSDB	PARTIDO DA SOCIAL DEMOCRACIA BRASILEIRA	170000057628	PARTIDO ISOLADO	PSDB	2	BRASILEIRA (NATURALIZADA)	PE	-3	OURICURI	10/03/1971	49	40086930833	4	FEMININO	8	SUPERIOR COMPLETO	1	SOLTEIRO(A)	3	PARDA	298	SERVIDOR PÚBLICO MUNICIPAL	26120.37	2	ELEITO POR QP	N	S	-1	6001353020206170082	2	DEFERIDO	2	DEFERIDO	SIM
4	4	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	24996	PALMARES	13	VEREADOR	170001129430	90090	MARILENE SHEILLA DE OLIVEIRA	SHEILLA DO MEIO AMBIENTE	None	4522160445	MARC_GUEDES@HOTMAIL.COM	3	INAPTO	6	RENÚNCIA	PARTIDO ISOLADO	90	PROS	PARTIDO REPUBLICANO DA ORDEM SOCIAL	170000136900	PARTIDO ISOLADO	PROS	1	BRASILEIRA NATA	AL	-3	MACEIÓ	26/07/1973	47	54096200809	4	FEMININO	8	SUPERIOR COMPLETO	1	SOLTEIRO(A)	3	PARDA	999	OUTROS	26666.50	-1	None	N	S	-1	6002360820206170037	-1	None	-1	None	NÃO
5	5	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	24910	OLINDA	13	VEREADOR	170000933978	10555	SILVANIA MARIA DE MELO CABRAL	SILVANIA CABRAL	None	32829124472	SILVANIAMCABRAL@OUTLOOK.COM	3	INAPTO	6	RENÚNCIA	PARTIDO ISOLADO	10	REPUBLICANOS	REPUBLICANOS	170000107703	PARTIDO ISOLADO	REPUBLICANOS	1	BRASILEIRA NATA	PE	-3	RECIFE	03/02/1962	58	37104790892	4	FEMININO	8	SUPERIOR COMPLETO	3	CASADO(A)	1	BRANCA	257	EMPRESÁRIO	105385.98	-1	None	N	S	-1	6002532820206170010	-1	None	-1	None	NÃO
6	6	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	25119	PAUDALHO	13	VEREADOR	170001251698	40123	LEANDRO TEIXEIRA DOS SANTOS	DOUTOR LEANDRO TEIXEIRA	None	7186253407	TEIXEIRASANTOSPE@GMAIL.COM	3	INAPTO	6	RENÚNCIA	PARTIDO ISOLADO	40	PSB	PARTIDO SOCIALISTA BRASILEIRO	170000155360	PARTIDO ISOLADO	PSB	1	BRASILEIRA NATA	PE	-3	PAUDALHO	29/03/1988	32	75206350884	2	MASCULINO	8	SUPERIOR COMPLETO	1	SOLTEIRO(A)	2	PRETA	142	PROFESSOR DE ENSINO SUPERIOR	17845.22	-1	None	N	S	-1	6001604420206170017	-1	None	-1	None	NÃO
7	7	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	23108	SANTA CRUZ	13	VEREADOR	170000642383	70444	ANTONIO JOANDSON DE ALENCAR AMORIM	PEPI	None	12002776431	JOANDSON49@GMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	70	AVANTE	AVANTE	170000056765	PARTIDO ISOLADO	AVANTE	1	BRASILEIRA NATA	PE	-3	OURICURI	24/02/1994	26	84648510817	2	MASCULINO	7	SUPERIOR INCOMPLETO	1	SOLTEIRO(A)	3	PARDA	601	AGRICULTOR	18991.16	5	SUPLENTE	N	S	-1	6000963320206170082	2	DEFERIDO	2	DEFERIDO	SIM
8	8	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	25313	RECIFE	13	VEREADOR	170000836614	25604	MARCIA MARIA ALVES DA SILVA	MARCIA SILVA	None	2453337467	DIRETORIODEMREC25@GMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	25	DEM	DEMOCRATAS	170000088761	PARTIDO ISOLADO	DEM	1	BRASILEIRA NATA	PE	-3	RECIFE	13/09/1969	51	32853620892	4	FEMININO	2	LÊ E ESCREVE	1	SOLTEIRO(A)	2	PRETA	581	DONA DE CASA	1011149.65	5	SUPLENTE	N	S	-1	6001450520206170008	2	DEFERIDO	2	DEFERIDO	SIM
9	9	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	PE	25615	SÃO CAITANO	13	VEREADOR	170000826892	10611	GEREMIAS MOISES DA SILVA	GERA EQUIPADORA	None	9022512444	WASHINGTONGOUVEIA84@HOTMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	10	REPUBLICANOS	REPUBLICANOS	170000086887	PARTIDO ISOLADO	REPUBLICANOS	1	BRASILEIRA NATA	PE	-3	SÃO CAITANO	17/09/1989	31	78367370892	2	MASCULINO	3	ENSINO FUNDAMENTAL INCOMPLETO	1	SOLTEIRO(A)	3	PARDA	169	COMERCIANTE	41468.76	5	SUPLENTE	N	S	-1	6001623020206170044	2	DEFERIDO	2	DEFERIDO	SIM

Last rows

	df_index	DT_GERACAO	HH_GERACAO	ANO_ELEICAO	CD_TIPO_ELEICAO	NM_TIPO_ELEICAO	NR_TURNO	CD_ELEICAO	DS_ELEICAO	DT_ELEICAO	TP_ABRANGENCIA	SG_UF	SG_UE	NM_UE	CD_CARGO	DS_CARGO	SQ_CANDIDATO	NR_CANDIDATO	NM_CANDIDATO	NM_URNA_CANDIDATO	NM_SOCIAL_CANDIDATO	NR_CPF_CANDIDATO	NM_EMAIL	CD_SITUACAO_CANDIDATURA	DS_SITUACAO_CANDIDATURA	CD_DETALHE_SITUACAO_CAND	DS_DETALHE_SITUACAO_CAND	TP_AGREMIACAO	NR_PARTIDO	SG_PARTIDO	NM_PARTIDO	SQ_COLIGACAO	NM_COLIGACAO	DS_COMPOSICAO_COLIGACAO	CD_NACIONALIDADE	DS_NACIONALIDADE	SG_UF_NASCIMENTO	CD_MUNICIPIO_NASCIMENTO	NM_MUNICIPIO_NASCIMENTO	DT_NASCIMENTO	NR_IDADE_DATA_POSSE	NR_TITULO_ELEITORAL_CANDIDATO	CD_GENERO	DS_GENERO	CD_GRAU_INSTRUCAO	DS_GRAU_INSTRUCAO	CD_ESTADO_CIVIL	DS_ESTADO_CIVIL	CD_COR_RACA	DS_COR_RACA	CD_OCUPACAO	DS_OCUPACAO	VR_DESPESA_MAX_CAMPANHA	CD_SIT_TOT_TURNO	DS_SIT_TOT_TURNO	ST_REELEICAO	ST_DECLARAR_BENS	NR_PROTOCOLO_CANDIDATURA	NR_PROCESSO	CD_SITUACAO_CANDIDATO_PLEITO	DS_SITUACAO_CANDIDATO_PLEITO	CD_SITUACAO_CANDIDATO_URNA	DS_SITUACAO_CANDIDATO_URNA	ST_CANDIDATO_INSERIDO_URNA
29259	31644	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	16195	APODI	13	VEREADOR	200001245292	43123	MIRIAN MARIA DA SILVA FERREIRA	MIRIAN DA GARILANDIA	None	5310286403	RAYANMADSON10@GMAIL.COM	3	INAPTO	6	RENÚNCIA	PARTIDO ISOLADO	43	PV	PARTIDO VERDE	200000154351	PARTIDO ISOLADO	PV	1	BRASILEIRA NATA	RN	-3	APODI	11/12/1979	41	18887131694	4	FEMININO	6	ENSINO MÉDIO COMPLETO	3	CASADO(A)	2	PRETA	601	AGRICULTOR	30949.89	-1	None	N	S	-1	6001237620206200035	-1	None	-1	None	NÃO
29260	31645	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	16934	IPUEIRA	13	VEREADOR	200000816965	15789	EMÍDIO PEREIRA DOS SANTOS	EMIDIO	None	29922712415	ALMADEVIDRO@GMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	15	MDB	MOVIMENTO DEMOCRÁTICO BRASILEIRO	200000085057	PARTIDO ISOLADO	MDB	1	BRASILEIRA NATA	PB	-3	SÃO JOSÉ DE ESPINHARAS	22/03/1982	38	10650501643	2	MASCULINO	3	ENSINO FUNDAMENTAL INCOMPLETO	1	SOLTEIRO(A)	3	PARDA	923	APOSENTADO (EXCETO SERVIDOR PÚBLICO)	21379.81	5	SUPLENTE	N	S	-1	6001127420206200026	2	DEFERIDO	2	DEFERIDO	SIM
29261	31646	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	17973	PENDÊNCIAS	13	VEREADOR	200000854050	13456	ISAC CARLOS DOS SANTOS	ISAC DO PT	None	56620012434	ISACCARLOSDOSSANTOS@HOTMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	13	PT	PARTIDO DOS TRABALHADORES	200000092510	PARTIDO ISOLADO	PT	1	BRASILEIRA NATA	RN	-3	MACAU	28/10/1965	55	9431781600	2	MASCULINO	8	SUPERIOR COMPLETO	3	CASADO(A)	3	PARDA	297	SERVIDOR PÚBLICO ESTADUAL	16833.48	3	ELEITO POR MÉDIA	N	S	-1	6001814320206200047	2	DEFERIDO	2	DEFERIDO	SIM
29262	31647	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	17418	MACAÍBA	13	VEREADOR	200001127752	45999	DJALMA DE MOURA	DJALMA MOURA	None	15444260468	COLIGACAOEXPERIENCIAETRABALHO@GMAIL.COM	3	INAPTO	6	RENÚNCIA	PARTIDO ISOLADO	45	PSDB	PARTIDO DA SOCIAL DEMOCRACIA BRASILEIRA	200000136717	PARTIDO ISOLADO	PSDB	1	BRASILEIRA NATA	RN	-3	MACAÍBA	11/10/1956	64	2715431600	2	MASCULINO	8	SUPERIOR COMPLETO	3	CASADO(A)	3	PARDA	923	APOSENTADO (EXCETO SERVIDOR PÚBLICO)	35829.59	4	NÃO ELEITO	N	N	-1	6002475220206200005	6	RENÚNCIA	2	DEFERIDO	SIM
29263	31648	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	17418	MACAÍBA	13	VEREADOR	200001127860	40369	CARLOS HENRIQUE DE OLIVEIRA COSTA	HENRIQUE COSTA	None	3421091463	PSBMACAIBA40@HOTMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	40	PSB	PARTIDO SOCIALISTA BRASILEIRO	200000136724	PARTIDO ISOLADO	PSB	1	BRASILEIRA NATA	RN	-3	NATAL	31/01/1979	41	17853791660	2	MASCULINO	6	ENSINO MÉDIO COMPLETO	3	CASADO(A)	1	BRANCA	254	VIGILANTE	35829.59	5	SUPLENTE	N	S	-1	6002969320206200005	2	DEFERIDO	2	DEFERIDO	SIM
29264	31649	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	16071	ÁGUA NOVA	13	VEREADOR	200000946648	25222	JOSE ROBERIO PEREIRA DA SILVA	ROBERIO	None	4985040428	ROBERIOCABOCO@GMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	25	DEM	DEMOCRATAS	200000109529	PARTIDO ISOLADO	DEM	1	BRASILEIRA NATA	RN	-3	ÁGUA NOVA	31/03/1984	36	21458031600	2	MASCULINO	6	ENSINO MÉDIO COMPLETO	3	CASADO(A)	1	BRANCA	601	AGRICULTOR	12307.75	2	ELEITO POR QP	N	S	-1	6001177620206200065	2	DEFERIDO	2	DEFERIDO	SIM
29265	31650	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	16390	CAICÓ	13	VEREADOR	200001241051	43111	JOSENEIDE ERNESTO DO NASCIMENTO	NEIDE ERNESTO	None	20185081215	NEIDEERNESTO@BOL.COM.BR	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	43	PV	PARTIDO VERDE	200000153594	PARTIDO ISOLADO	PV	1	BRASILEIRA NATA	RN	-3	NATAL	31/12/1964	56	25429591201	4	FEMININO	6	ENSINO MÉDIO COMPLETO	9	DIVORCIADO(A)	1	BRANCA	129	ARTESÃO	52350.27	4	NÃO ELEITO	S	S	-1	6002010320206200025	2	DEFERIDO	2	DEFERIDO	SIM
29266	31651	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	17418	MACAÍBA	13	VEREADOR	200001127844	40456	LUIZ GONZAGA SOARES	LUIZINHO	None	20015437434	PSBMACAIBA40@HOTMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	40	PSB	PARTIDO SOCIALISTA BRASILEIRO	200000136724	PARTIDO ISOLADO	PSB	1	BRASILEIRA NATA	RN	-3	MACAÍBA	30/04/1957	63	2709591678	2	MASCULINO	8	SUPERIOR COMPLETO	3	CASADO(A)	1	BRANCA	131	ADVOGADO	35829.59	2	ELEITO POR QP	N	S	-1	6002596620206200005	2	DEFERIDO	2	DEFERIDO	SIM
29267	31653	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	17531	MONTANHAS	13	VEREADOR	200001049842	70111	IVAN CORDEIRO DA COSTA	IVAN CORDEIRO DA COSTA	None	2910302466	IVANCORDEIRODACOSTA@GMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	70	AVANTE	AVANTE	200000126896	PARTIDO ISOLADO	AVANTE	1	BRASILEIRA NATA	RN	-3	NOVA CRUZ	21/06/1978	42	16697261600	2	MASCULINO	3	ENSINO FUNDAMENTAL INCOMPLETO	9	DIVORCIADO(A)	3	PARDA	601	AGRICULTOR	12307.75	5	SUPLENTE	N	S	-1	6002967220206200012	2	DEFERIDO	2	DEFERIDO	SIM
29268	31654	05/08/2021	12:18:13	2020	2	ELEIÇÃO ORDINÁRIA	1	426	Eleições Municipais 2020	15/11/2020	MUNICIPAL	RN	18597	SENADOR ELÓI DE SOUZA	13	VEREADOR	200001062226	20888	MANOEL JORGE RIBEIRO	MANOEL JORGE	None	67141617434	PSC.ELOIDESOUZA@GMAIL.COM	12	APTO	2	DEFERIDO	PARTIDO ISOLADO	20	PSC	PARTIDO SOCIAL CRISTÃO	200000128431	PARTIDO ISOLADO	PSC	1	BRASILEIRA NATA	RN	-3	SENADOR ELÓI DE SOUZA	13/11/1967	53	17373291686	2	MASCULINO	4	ENSINO FUNDAMENTAL COMPLETO	3	CASADO(A)	3	PARDA	601	AGRICULTOR	20355.58	5	SUPLENTE	N	S	-1	6003116220206200005	2	DEFERIDO	2	DEFERIDO	SIM

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts